The integration of artificial intelligence (AI) with high-throughput experimentation (HTE) techniques is revolutionizing catalyst design, addressing challenges in efficiency, cost, and scalability. This review explore...The integration of artificial intelligence (AI) with high-throughput experimentation (HTE) techniques is revolutionizing catalyst design, addressing challenges in efficiency, cost, and scalability. This review explores the synergistic application of AI and HTE, highlighting their role in accelerating catalyst discovery, optimizing reaction parameters, and understanding structure-performance relationships. HTE facilitates the rapid preparation, characterization, and evaluation of diverse catalyst formulations, generating large datasets essential for AI model training. Machine learning algorithms, including regression models, neural networks, and active learning frameworks, analyze these datasets to uncover the underlying relationships between the data, predict performance, and optimize experimental workflows in real-time. Case studies across heterogeneous, homogeneous, and electrocatalysis demonstrate significant advancements, including improved reaction selectivity, enhanced material stability, and shorten discovery cycles. The integration of AI with HTE has significantly accelerated discovery cycles, enabling the optimization of catalyst formulations and reaction conditions. Despite these achievements, challenges remain, including reliance on researcher expertise, real-time adaptability, and the complexity of large-scale data analysis. Addressing these limitations through refined experimental protocols, standardized datasets, and interpretable AI models will unlock the full potential of AI-HTE integration.展开更多
Sm–Co-based films play an irreplaceable role in special applications due to their high curie temperature and magnetocrystalline anisotropic energy,especially in heat-assisted magnetic recording(HAMR),but the complex ...Sm–Co-based films play an irreplaceable role in special applications due to their high curie temperature and magnetocrystalline anisotropic energy,especially in heat-assisted magnetic recording(HAMR),but the complex composition of Sm–Co phase and unclear synergistic coupling mechanisms of multi-elemental doping become the challenges to enhance the properties.In this work,a novel strategy combining magnetron sputtering and a high-throughput experiment method is applied to solve the above-mentioned problems.Fe/Cu co-doping highly increases the remanence while maintaining a coercivity larger than 26 kOe,leading to an enhancement of the magnetic energy product to 18.1 MGOe.X-ray diffraction(XRD)and high-resolution transmission electron microscope(HRTEM)reveals that SmCo_(5) phase occupies the major fraction,with Co atoms partially substituted by Fe and Cu atoms.In situ Lorentz transmission electron microscopy(LTEM)observations show that the Sm(Co,Cu)5 phase effectively prohibits domain wall motions,leading to an increase of coercivity(H_(c)).Fe doping increases the low saturation magnetization(M_(s))and low remanence(Mr)due to the Fe atom having a higher saturation magnetic moment.The magnetization reversal behaviors are further verified by micromagnetic simulations.Our results suggest that Sm–Co-based films prepared via Fe/Cu co-doping could be a promising candidate for high-performed HAMR in the future.展开更多
A virtual sieving experimental simulation system was built using physical simulation principles.The effects of vibration frequency and amplitude,the inclination angle of the screen-deck and the vibration direction ang...A virtual sieving experimental simulation system was built using physical simulation principles.The effects of vibration frequency and amplitude,the inclination angle of the screen-deck and the vibration direction angle of screen on single particle kinematics were predicted.Properties such as the average velocity and the average throw height were studied.The results show that the amplitude and the angle of vibration have a great effect on particle average velocity and average height.The vibration frequency and the screen-deck inclination angle appear to have little influence on these responses.For materials that are difficult to screen the vibration frequency and amplitude,the screen-deck inclination angle and the vibration angle should be set to 14 Hz,6.6 mm,6° and 40°,respectively,to obtain optimal particle kinematics.A screening process can be simulated reliably by means of a virtual experiment and these results provide references for both screening theory research and sieving practice.展开更多
Animal behavior researchers often face problems regarding standardization and reproducibility oftheir experiments. This has led to the partial substitution of live animals with artificial virtual stim-uli. In addition...Animal behavior researchers often face problems regarding standardization and reproducibility oftheir experiments. This has led to the partial substitution of live animals with artificial virtual stim-uli. In addition to standardization and reproducibility, virtual stimuli open new options for re-searchers since they are easily changeable in morphology and appearance, and their behavior canbe defined. In this article, a novel toolchain to conduct behavior experiments with fish is presentedby a case study in sailfin mollies Poecilia latipinna. As the toolchain holds many different and novelfeatures, it offers new possibilities for studies in behavioral animal research and promotes thestandardization of experiments. The presented method includes options to design, animate, andpresent virtual stimuli to live fish. The designing tool offers an easy and user-friendly way to definesize, coloration, and morphology of stimuli and moreover it is able to configure virtual stimuli ran-domly without any user influence. Furthermore, the toolchain brings a novel method to animatestimuli in a semiautomatic way with the help of a game controller. These created swimming pathscan be applied to different stimuli in real time. A presentation tool combines models and swim-ming paths regarding formerly defined playlists, and presents the stimuli onto 2 screens.Experiments with live sailfin mollies validated the usage of the created virtual 3D fish models inmate-choice experiments.展开更多
The use of computer animation in behavioral research is a state-of-the-art method for designing andpresenting animated animals to live test animals. The major advantages of computer animations are：（1） the creation ...The use of computer animation in behavioral research is a state-of-the-art method for designing andpresenting animated animals to live test animals. The major advantages of computer animations are：（1） the creation of animated animal stimuli with high variability of morphology and even behavior; （2）animated stimuli provide highly standardized, controlled and repeatable testing procedures; and （3）they allow a reduction in the number of live test animals regarding the 3Rs principle. But the use of ani-mated animals should be attended by a thorough validation for each test species to verify that behaviormeasured with live animals toward virtual animals can also be expected with natural stimuli. Here wepresent results on the validation of a custom-made simulation for animated 3D sailfin mollies Poecilialatipinna and show that responses of live test females were as strong to an animated fish as to a videoor a live male fish. Movement of an animated stimulus was important but female response was stron-ger toward a swimming 3D fish stimulus than to a ＂swimming＂ box. Moreover, male test fish wereable to discriminate between animated male and female stimuli; hence, rendering the animated 3D fisha useful tool in mate-choice experiments with sailfin mollies.展开更多
In order to improve structure performance of the dish solar concentrator,a three-dimensional model of dish solar concentrator was established based on the high-precision numerical algorithms.And a virtual wind tunnel ...In order to improve structure performance of the dish solar concentrator,a three-dimensional model of dish solar concentrator was established based on the high-precision numerical algorithms.And a virtual wind tunnel experiment with constant wind is adopted to investigate the pressure distribution of the reflective surface,velocity distribution of the fluid domain for the dish solar concentrator in different poses and wind speeds distribution.Some results about wind pressure distribution before and after dish solar concentrator surface and wind load velocity distribution in the entire fluid domain had been obtained.In particular,it is necessary to point out that the stiffness at the center of the dish solar concentrator should be relatively raised.The results can provide a theoretical basis for the improvement of solar concentrator dish structure as well as the failure analysis of dish solar concentrator in engineering practice.展开更多
Aqueous zinc ion batteries(AZIBs)have attracted much attention in recent years due to their high safety,low cost,and decent electrochemical performance.However,the traditional electrodes development process requires t...Aqueous zinc ion batteries(AZIBs)have attracted much attention in recent years due to their high safety,low cost,and decent electrochemical performance.However,the traditional electrodes development process requires tedious synthesis and testing procedures,which reduces the efficiency of developing highperformance battery devices.Here,we proposed a high-throughput screening strategy based on firstprinciples calculations to aid the experimental development of high-performance spinel cathode materials for AZIBs.We obtained 14 spinel materials from 12,047 Mn/Zn-O based materials by examining their structures and whether they satisfy the basic properties of electrodes.Then their band structures and density of states,open circuit voltage and volume expansion rate,ionic diffusion coefficient and energy barrier were further evaluated by first-principles calculations,resulting in five potential candidates.One of the promising candidates identified,Mg_(2)MnO_(4),was experimentally synthesized,characterized and integrated into an AZIB based cell to verify its performance as a cathode.The Mg_(2)MnO_(4)cathode exhibits excellent cycling stability,which is consistent with the theoretically predicted low volume expansion.Moreover,at high current density,the Mg_(2)MnO_(4)cathode still exhibits high reversible capacity and excellent rate performance,indicating that it is an excellent cathode material for AZIBs.Our work provides a new approach to accelerate the development of high-performance cathodes for AZIBs and other ion batteries.展开更多
A combinatorial high-throughput experiment(HTE)was used to optimize composition and process of nickel-saving cryogenic steel.A gradient temperature heat treatment method with a high linear distribution of heat treatme...A combinatorial high-throughput experiment(HTE)was used to optimize composition and process of nickel-saving cryogenic steel.A gradient temperature heat treatment method with a high linear distribution of heat treatment temperature using customized graphite sleeve direct current heating was used in the combinatorial HTE,which enhanced the richness of the sample library for the single preparation of the 10^(2) level component process variables.Cryogenic steel with excellent mechanical properties was optimized using this combinatorial HTE,and the Ni content was reduced from the traditional 9 to 5.6 wt.%by using Mn instead of Ni.The heterogeneous structure architecture strategy and strengthening and toughening mechanism of the harmonic structure induced by intrinsic heat treatment of additive manufacturing were revealed.Taking the composition process optimization of Ni-saving cryogenic steel as an example,the boosting ability of combinatorial HTE in the research and development of new metal materials was proposed.展开更多
In recent years, virtual simulation experiments have been widely used in education. However, at present, academic research on virtual simulation experiments mostly focuses on key technologies, and there are few emotio...In recent years, virtual simulation experiments have been widely used in education. However, at present, academic research on virtual simulation experiments mostly focuses on key technologies, and there are few emotional studies on virtual experiments. Based on the three-layer model of emotional design theory, this paper puts forward the method strategy of emotional simulation design in virtual simulation experiment, in order to provide some reference value for the design of virtual simulation experiment.展开更多
Background Mixed-reality technologies,including virtual reality(VR)and augmented reality(AR),are considered to be promising potential tools for science teaching and learning processes that could foster positive emotio...Background Mixed-reality technologies,including virtual reality(VR)and augmented reality(AR),are considered to be promising potential tools for science teaching and learning processes that could foster positive emotions,motivate autonomous learning,and improve learning outcomes.Methods In this study,a technology-aided biological microscope learning system based on VR/AR is presented.The structure of the microscope is described in a detailed three-dimensional(3D)model,each component being represented with their topological interrelationships and associations among them being established.The interactive behavior of the model was specified,and a standard operating guide was compiled.The motion control of components was simulated based on collision detection.Combined with immersive VR equipment and AR technology,we developed a virtual microscope subsystem and a mobile virtual microscope guidance system.Results The system consisted of a VR subsystem and an AR subsystem.The focus of the VR subsystem was to simulate operating the microscope and associated interactive behaviors that allowed users to observe and operate the components of the 3D microscope model by means of natural interactions in an immersive scenario.The AR subsystem allowed participants to use a mobile terminal that took a picture of a microscope from a textbook and then displayed the structure and functions of the instrument,as well as the relevant operating guidance.This flexibly allowed students to use the system before or after class without time and space constraints.The system allowed users to switch between the VR and AR subsystems.Conclusions The system is useful for helping learners(especially K-12 students)to recognize a microscope's structure and grasp the required operational skills by simulating operations using an interactive process.In the future,such technology-assisted education would be a successful learning platform in an open learning space.展开更多
Background This study aimed to explore the influence of prior gaming experience on the intensity and onset of cybersickness symptoms by comparing the effects of virtual reality(VR)immersion in gamers and nongamers.Met...Background This study aimed to explore the influence of prior gaming experience on the intensity and onset of cybersickness symptoms by comparing the effects of virtual reality(VR)immersion in gamers and nongamers.Methods This study involved 50 male participants,with equal numbers of gamers and nongamers,who were subject to a VR environment using head-mounted displays in a sitting position for a 15-minute session.The intensity of cybersickness symptoms,such as nausea,oculomotor disturbances,and disorientation,was measured using a simulator sickness questionnaire,and the onset of cybersickness was measured using the fast motion sickness scale.Physiological indices were measured based on heart rate variability(HRV)parameters.Results This study found that prior gaming experience significantly affected symptoms of cybersickness during VR immersion.Nongamers experienced more severe symptoms,including higher levels of nausea,disorientation,and oculomotor disturbances,with symptoms appearing earlier than those in gamers.These differences were linked to increased fluctuations in HRV and reduced parasympathetic activity in nongamers,indicating higher autonomic nervous system strain.By contrast,gamers showed more stable HRV responses,suggesting better physiological adaptability to VR environments.Conclusion These findings indicate that familiarity of gamers with dynamic visual and sensory inputs may help them manage VR-induced sensory conflicts more effectively.展开更多
Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects ...Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects of AI technology in molecular biology experimental teaching,this paper discusses the application of AI technology in molecular biology experimental teaching,focusing on the construction and application of virtual laboratories.At the same time,the advantages,challenges and future development directions of AI technology application are analyzed.The study found that AI technology has broad application prospects in molecular biology experimental teaching.AI technology can overcome many limitations in traditional experimental teaching,and can also provide personalized learning experience,real-time feedback and evaluation,and simulate complex molecular processes.However,the application of AI technology also faces challenges such as technology cost,teacher training,and curriculum design.In summary,the application of AI technology in molecular biology experimental teaching has significant advantages and can effectively improve teaching quality and learning effects.In the future,we should strengthen the integration of AI technology and traditional teaching methods,develop more AI teaching tools suitable for the characteristics of molecular biology,and focus on cultivating students’practical ability and innovative thinking.This study provides new ideas and directions for promoting the reform and innovation of molecular biology experimental teaching.展开更多
Background Machine learning-based beer bottle-defect detection is a complex technology that runs automatically;however,it consumes considerable memory,is expensive,and poses a certain danger when training novice opera...Background Machine learning-based beer bottle-defect detection is a complex technology that runs automatically;however,it consumes considerable memory,is expensive,and poses a certain danger when training novice operators.Moreover,some topics are difficult to learn from experimental lectures,such as digital image processing and computer vision.However,virtual simulation experiments have been widely used to good effect within education.A virtual simulation of the design and manufacture of a beer bottle-defect detection system will not only help the students to increase their image-processing knowledge,but also improve their ability to solve complex engineering problems and design complex systems.Methods The hardware models for the experiment(camera,light source,conveyor belt,power supply,manipulator,and computer)were built using the 3DS MAX modeling and animation software.The Unreal Engine 4(UE4)game engine was utilized to build a virtual design room,design the interactive operations,and simulate the system operation.Results The results showed that the virtual-simulation system received much better experimental feedback,which facilitated the design and manufacture of a beer bottle-defect detection system.The specialized functions of the functional modules in the detection system,including a basic experimental operation menu,power switch,image shooting,image processing,and manipulator grasping,allowed students(or virtual designers)to easily build a detection system by retrieving basic models from the model library,and creating the beer-bottle transportation,image shooting,image processing,defect detection,and defective-product removal.The virtual simulation experiment was completed with image processing as the main body.Conclusions By mainly focusing on bottle mouth defect detection,the detection system dedicates more attention to the user and the task.With more detailed tasks available,the virtual system will eventually yield much better results as a training tool for image processing education.In addition,a novel visual perception-thinking pedagogical framework enables better comprehension than the traditional lecture-tutorial style.展开更多
In this paper, the design of a virtual experiment system based on Flex and XML is described. The system adopts threelayer architecture and it is composed of four modules. Flex is used to design user interface, and XML...In this paper, the design of a virtual experiment system based on Flex and XML is described. The system adopts threelayer architecture and it is composed of four modules. Flex is used to design user interface, and XML is used as data format between layers or modules. Data services are used to store or retrieve the information of experiment components or experiment scenes. Principles for the design of simulation engine and simulation scheduler are discussed. The design of the simulation engine for ＂Digital Logic＂ course is described in detail. The system has been implemented in the experiment teaching of Digital Logic. Teaching results and the feedback from students demonstrate that the virtual experiment system can improve the effects of experiment teaching and arouse the learning interests of students.展开更多
Photocatalysis,a critical strategy for harvesting sunlight to address energy demand and environmental concerns,is underpinned by the discovery of high-performance photocatalysts,thereby how to design photocatalysts is...Photocatalysis,a critical strategy for harvesting sunlight to address energy demand and environmental concerns,is underpinned by the discovery of high-performance photocatalysts,thereby how to design photocatalysts is now generating widespread interest in boosting the conversion effi-ciency of solar energy.In the past decade,computational technologies and theoretical simulations have led to a major leap in the development of high-throughput computational screening strategies for novel high-efficiency photocatalysts.In this viewpoint,we started with introducing the challenges of photocatalysis from the view of experimental practice,especially the inefficiency of the traditional“trial and error”method.Sub-sequently,a cross-sectional comparison between experimental and high-throughput computational screening for photocatalysis is presented and discussed in detail.On the basis of the current experimental progress in photocatalysis,we also exemplified the various challenges associated with high-throughput computational screening strategies.Finally,we offered a preferred high-throughput computational screening procedure for pho-tocatalysts from an experimental practice perspective(model construction and screening,standardized experiments,assessment and revision),with the aim of a better correlation of high-throughput simulations and experimental practices,motivating to search for better descriptors.展开更多
By stating the problems faced by the experiment of digital logic design course in traditional laboratory, the necessity of hardware experiment virtualization is analyzed, and then two virtual experiment methods are in...By stating the problems faced by the experiment of digital logic design course in traditional laboratory, the necessity of hardware experiment virtualization is analyzed, and then two virtual experiment methods are introduced. The pilot implementation of remote virtual experimental platform and virtual component library shows that the virtualization of hardware experiment can effectively break the time and space limitation of traditional hardware experiment, and improves the learning enthusiasm and autonomy of students, which is worth further promoted.展开更多
Virtual simulation experiment teaching gradually becomes the trend of the computer-related education practice.Through analyzing the problems existed in current computer experiment teaching,this paper proposes the idea...Virtual simulation experiment teaching gradually becomes the trend of the computer-related education practice.Through analyzing the problems existed in current computer experiment teaching,this paper proposes the idea of building virtual simulation experiment platform based on 3R-4A computer system and clarifies the design technology,including frame,characteristic and innovation,resource sharing and management,condition protection and so on.展开更多
Background With the aim of addressing the difficulty in identifying temperatures in virtual chemistry experiments,we propose a temperature-sensing simulation method of virtual chemistry experiments.Methods We construc...Background With the aim of addressing the difficulty in identifying temperatures in virtual chemistry experiments,we propose a temperature-sensing simulation method of virtual chemistry experiments.Methods We construct a virtual chemistry experiment temperature simulation platform,based on which a wearable temperature generation device is developed.The typical middle school virtual experiments of concentrated sulfuric acid dilution and ammonium nitrate dissolution are conducted to verify the actual effect of the device.Results The platform is capable to indicate near real-world experimental situations.The performance of the device not only meets the temperature sensing characteristics of human skin,but also matches the temperature change of virtual chemistry experiments in real-time.Conclusions It is demonstrated that this temperature-sensing simulation method can represent exothermic or endothermic chemistry experiments,which is beneficial for students to gain understanding of the principles of thermal energy transformation in chemical reactions,thus avoiding the danger that may be posed in the course of traditional teaching of chemistry experiments effectively.Although this method does not have a convenient enough operation for users,the immersion of virtual chemical experiments can be enhanced.展开更多
In the university physics teaching, the application of virtual simulation experiment technology can provide reliable technical support for teachers. If teachers only use the traditional oral teaching method, the teach...In the university physics teaching, the application of virtual simulation experiment technology can provide reliable technical support for teachers. If teachers only use the traditional oral teaching method, the teaching effect is not ideal. Because the physics subject contains many experiments, if students cannot watch the experiment process, students thinking ability and practical ability will be affected. However, under the constraints of teaching conditions, some physics experiments cannot be carried out. With the help of virtual simulation experiment technology, under the virtual simulation experiment, the simulation degree is high and the operation is relatively simple, also has the advantage of safety and risk-free, to compensate for the deficiency of the traditional teaching methods. To a certain extent, also can innovate teaching methods, students can fully observe the physical phenomenon operation process, help students to master the corresponding knowledge. This paper expounds the characteristics of virtual simulation experiment and the application principles of virtual simulation technology in university physics experiment teaching, and proposes the application strategy of this technology.展开更多
This paper proposes the design and development of virtual experimental projects in the Digital Signal Processing course,using MATLAB,Proteus,and CCS platforms to develop a library of typical experimental cases for bio...This paper proposes the design and development of virtual experimental projects in the Digital Signal Processing course,using MATLAB,Proteus,and CCS platforms to develop a library of typical experimental cases for biomedical engineering majors and discusses the design process.Based on these typical cases,this paper explores the secondary design for innovative engineering practice case teaching,which can promote students’understanding and mastery of digital signal processing theories,algorithms,and technologies in an intuitive,flexible,and efficient way;quickly build new innovative engineering case models and further cultivate students’engineering application ability as well as innovative thinking.展开更多
基金supported by the Special Project of National Natural Science Foundation(42341204)the the National Natural Science Foundation of China(W2411009).
文摘The integration of artificial intelligence (AI) with high-throughput experimentation (HTE) techniques is revolutionizing catalyst design, addressing challenges in efficiency, cost, and scalability. This review explores the synergistic application of AI and HTE, highlighting their role in accelerating catalyst discovery, optimizing reaction parameters, and understanding structure-performance relationships. HTE facilitates the rapid preparation, characterization, and evaluation of diverse catalyst formulations, generating large datasets essential for AI model training. Machine learning algorithms, including regression models, neural networks, and active learning frameworks, analyze these datasets to uncover the underlying relationships between the data, predict performance, and optimize experimental workflows in real-time. Case studies across heterogeneous, homogeneous, and electrocatalysis demonstrate significant advancements, including improved reaction selectivity, enhanced material stability, and shorten discovery cycles. The integration of AI with HTE has significantly accelerated discovery cycles, enabling the optimization of catalyst formulations and reaction conditions. Despite these achievements, challenges remain, including reliance on researcher expertise, real-time adaptability, and the complexity of large-scale data analysis. Addressing these limitations through refined experimental protocols, standardized datasets, and interpretable AI models will unlock the full potential of AI-HTE integration.
基金supported by the National Key R&D Program of China(No.2022YFB3505700)the National Natural Science Foundation of China(No.51901079)+4 种基金Guangdong Science and Technology Program(No.2023A0505050145)the Natural Science Foundation of Guangdong Province(Nos.2024A1515030178,2020A1515010736 and 2021A1515010451)Guangzhou Municipal Science and Technology Program(No.202007020008)the Fundamental Research Funds for the Central Universities,the Opening Project of National Engineering Research Center for Powder Metallurgy of Titanium&Rare Metals,the Fundamental Research Funds for the Central Universities and Zhongshan Municipal Science and Technology Program(No.191007102629094)Zhongshan Collaborative Innovation Fund(No.2018C1001).
文摘Sm–Co-based films play an irreplaceable role in special applications due to their high curie temperature and magnetocrystalline anisotropic energy,especially in heat-assisted magnetic recording(HAMR),but the complex composition of Sm–Co phase and unclear synergistic coupling mechanisms of multi-elemental doping become the challenges to enhance the properties.In this work,a novel strategy combining magnetron sputtering and a high-throughput experiment method is applied to solve the above-mentioned problems.Fe/Cu co-doping highly increases the remanence while maintaining a coercivity larger than 26 kOe,leading to an enhancement of the magnetic energy product to 18.1 MGOe.X-ray diffraction(XRD)and high-resolution transmission electron microscope(HRTEM)reveals that SmCo_(5) phase occupies the major fraction,with Co atoms partially substituted by Fe and Cu atoms.In situ Lorentz transmission electron microscopy(LTEM)observations show that the Sm(Co,Cu)5 phase effectively prohibits domain wall motions,leading to an increase of coercivity(H_(c)).Fe doping increases the low saturation magnetization(M_(s))and low remanence(Mr)due to the Fe atom having a higher saturation magnetic moment.The magnetization reversal behaviors are further verified by micromagnetic simulations.Our results suggest that Sm–Co-based films prepared via Fe/Cu co-doping could be a promising candidate for high-performed HAMR in the future.
基金support from the Innovative Research Groups of the National Natural Science Foundation of China (No.50921002)the National Natural Science Foundation of China (Nos.50574091 and 50774084)+1 种基金the "333 Project" Foundation of Jiangsu Provincethe Key Laboratory of Coal Processing & Efficient Utilization,Ministry of Education Foundation (No.CPEUKF 08-02) for this work
文摘A virtual sieving experimental simulation system was built using physical simulation principles.The effects of vibration frequency and amplitude,the inclination angle of the screen-deck and the vibration direction angle of screen on single particle kinematics were predicted.Properties such as the average velocity and the average throw height were studied.The results show that the amplitude and the angle of vibration have a great effect on particle average velocity and average height.The vibration frequency and the screen-deck inclination angle appear to have little influence on these responses.For materials that are difficult to screen the vibration frequency and amplitude,the screen-deck inclination angle and the vibration angle should be set to 14 Hz,6.6 mm,6° and 40°,respectively,to obtain optimal particle kinematics.A screening process can be simulated reliably by means of a virtual experiment and these results provide references for both screening theory research and sieving practice.
文摘Animal behavior researchers often face problems regarding standardization and reproducibility oftheir experiments. This has led to the partial substitution of live animals with artificial virtual stim-uli. In addition to standardization and reproducibility, virtual stimuli open new options for re-searchers since they are easily changeable in morphology and appearance, and their behavior canbe defined. In this article, a novel toolchain to conduct behavior experiments with fish is presentedby a case study in sailfin mollies Poecilia latipinna. As the toolchain holds many different and novelfeatures, it offers new possibilities for studies in behavioral animal research and promotes thestandardization of experiments. The presented method includes options to design, animate, andpresent virtual stimuli to live fish. The designing tool offers an easy and user-friendly way to definesize, coloration, and morphology of stimuli and moreover it is able to configure virtual stimuli ran-domly without any user influence. Furthermore, the toolchain brings a novel method to animatestimuli in a semiautomatic way with the help of a game controller. These created swimming pathscan be applied to different stimuli in real time. A presentation tool combines models and swim-ming paths regarding formerly defined playlists, and presents the stimuli onto 2 screens.Experiments with live sailfin mollies validated the usage of the created virtual 3D fish models inmate-choice experiments.
文摘The use of computer animation in behavioral research is a state-of-the-art method for designing andpresenting animated animals to live test animals. The major advantages of computer animations are：（1） the creation of animated animal stimuli with high variability of morphology and even behavior; （2）animated stimuli provide highly standardized, controlled and repeatable testing procedures; and （3）they allow a reduction in the number of live test animals regarding the 3Rs principle. But the use of ani-mated animals should be attended by a thorough validation for each test species to verify that behaviormeasured with live animals toward virtual animals can also be expected with natural stimuli. Here wepresent results on the validation of a custom-made simulation for animated 3D sailfin mollies Poecilialatipinna and show that responses of live test females were as strong to an animated fish as to a videoor a live male fish. Movement of an animated stimulus was important but female response was stron-ger toward a swimming 3D fish stimulus than to a ＂swimming＂ box. Moreover, male test fish wereable to discriminate between animated male and female stimuli; hence, rendering the animated 3D fisha useful tool in mate-choice experiments with sailfin mollies.
基金Projects(201208430262,201306130031)supported by the China Scholarship Council
文摘In order to improve structure performance of the dish solar concentrator,a three-dimensional model of dish solar concentrator was established based on the high-precision numerical algorithms.And a virtual wind tunnel experiment with constant wind is adopted to investigate the pressure distribution of the reflective surface,velocity distribution of the fluid domain for the dish solar concentrator in different poses and wind speeds distribution.Some results about wind pressure distribution before and after dish solar concentrator surface and wind load velocity distribution in the entire fluid domain had been obtained.In particular,it is necessary to point out that the stiffness at the center of the dish solar concentrator should be relatively raised.The results can provide a theoretical basis for the improvement of solar concentrator dish structure as well as the failure analysis of dish solar concentrator in engineering practice.
基金This work was financially supported by research grants from the Natural Science Foundation of China(Nos.12004057,62074022,52173235)Support plan for Overseas Students to Return to China for Entrepreneurship and Innovation(No.cx2020075)+3 种基金Open Fund of Key Laboratory of Low-grade Energy Utilization Technologies and Systems(No.LLEUTS-2020008)Chongqing Funds for Distinguished Young Scientists(No.cstc2021jcyj-jqX0015)Chongqing Talent Plan(No.CQYC2021059206)Fundamental Research Funds for the Central Universities(No.2020CDJQY-A055).
文摘Aqueous zinc ion batteries(AZIBs)have attracted much attention in recent years due to their high safety,low cost,and decent electrochemical performance.However,the traditional electrodes development process requires tedious synthesis and testing procedures,which reduces the efficiency of developing highperformance battery devices.Here,we proposed a high-throughput screening strategy based on firstprinciples calculations to aid the experimental development of high-performance spinel cathode materials for AZIBs.We obtained 14 spinel materials from 12,047 Mn/Zn-O based materials by examining their structures and whether they satisfy the basic properties of electrodes.Then their band structures and density of states,open circuit voltage and volume expansion rate,ionic diffusion coefficient and energy barrier were further evaluated by first-principles calculations,resulting in five potential candidates.One of the promising candidates identified,Mg_(2)MnO_(4),was experimentally synthesized,characterized and integrated into an AZIB based cell to verify its performance as a cathode.The Mg_(2)MnO_(4)cathode exhibits excellent cycling stability,which is consistent with the theoretically predicted low volume expansion.Moreover,at high current density,the Mg_(2)MnO_(4)cathode still exhibits high reversible capacity and excellent rate performance,indicating that it is an excellent cathode material for AZIBs.Our work provides a new approach to accelerate the development of high-performance cathodes for AZIBs and other ion batteries.
基金the financial support of the National KeyR&DProgram of China(No.2021YFB3702401)Major Program of the National Natural Science Foundation of China(No.52293394)the National Natural Science Foundation of China(No.51831002).
文摘A combinatorial high-throughput experiment(HTE)was used to optimize composition and process of nickel-saving cryogenic steel.A gradient temperature heat treatment method with a high linear distribution of heat treatment temperature using customized graphite sleeve direct current heating was used in the combinatorial HTE,which enhanced the richness of the sample library for the single preparation of the 10^(2) level component process variables.Cryogenic steel with excellent mechanical properties was optimized using this combinatorial HTE,and the Ni content was reduced from the traditional 9 to 5.6 wt.%by using Mn instead of Ni.The heterogeneous structure architecture strategy and strengthening and toughening mechanism of the harmonic structure induced by intrinsic heat treatment of additive manufacturing were revealed.Taking the composition process optimization of Ni-saving cryogenic steel as an example,the boosting ability of combinatorial HTE in the research and development of new metal materials was proposed.
文摘In recent years, virtual simulation experiments have been widely used in education. However, at present, academic research on virtual simulation experiments mostly focuses on key technologies, and there are few emotional studies on virtual experiments. Based on the three-layer model of emotional design theory, this paper puts forward the method strategy of emotional simulation design in virtual simulation experiment, in order to provide some reference value for the design of virtual simulation experiment.
基金the National Key Research and Development Program of China(2018YFB1004905).
文摘Background Mixed-reality technologies,including virtual reality(VR)and augmented reality(AR),are considered to be promising potential tools for science teaching and learning processes that could foster positive emotions,motivate autonomous learning,and improve learning outcomes.Methods In this study,a technology-aided biological microscope learning system based on VR/AR is presented.The structure of the microscope is described in a detailed three-dimensional(3D)model,each component being represented with their topological interrelationships and associations among them being established.The interactive behavior of the model was specified,and a standard operating guide was compiled.The motion control of components was simulated based on collision detection.Combined with immersive VR equipment and AR technology,we developed a virtual microscope subsystem and a mobile virtual microscope guidance system.Results The system consisted of a VR subsystem and an AR subsystem.The focus of the VR subsystem was to simulate operating the microscope and associated interactive behaviors that allowed users to observe and operate the components of the 3D microscope model by means of natural interactions in an immersive scenario.The AR subsystem allowed participants to use a mobile terminal that took a picture of a microscope from a textbook and then displayed the structure and functions of the instrument,as well as the relevant operating guidance.This flexibly allowed students to use the system before or after class without time and space constraints.The system allowed users to switch between the VR and AR subsystems.Conclusions The system is useful for helping learners(especially K-12 students)to recognize a microscope's structure and grasp the required operational skills by simulating operations using an interactive process.In the future,such technology-assisted education would be a successful learning platform in an open learning space.
基金Supported by Rekognisi Tugas Akhir(RTA)Grant(No.5286/UN1.P1/PT.01.03/2024)from Universitas Gadjah Mada,Indonesia.
文摘Background This study aimed to explore the influence of prior gaming experience on the intensity and onset of cybersickness symptoms by comparing the effects of virtual reality(VR)immersion in gamers and nongamers.Methods This study involved 50 male participants,with equal numbers of gamers and nongamers,who were subject to a VR environment using head-mounted displays in a sitting position for a 15-minute session.The intensity of cybersickness symptoms,such as nausea,oculomotor disturbances,and disorientation,was measured using a simulator sickness questionnaire,and the onset of cybersickness was measured using the fast motion sickness scale.Physiological indices were measured based on heart rate variability(HRV)parameters.Results This study found that prior gaming experience significantly affected symptoms of cybersickness during VR immersion.Nongamers experienced more severe symptoms,including higher levels of nausea,disorientation,and oculomotor disturbances,with symptoms appearing earlier than those in gamers.These differences were linked to increased fluctuations in HRV and reduced parasympathetic activity in nongamers,indicating higher autonomic nervous system strain.By contrast,gamers showed more stable HRV responses,suggesting better physiological adaptability to VR environments.Conclusion These findings indicate that familiarity of gamers with dynamic visual and sensory inputs may help them manage VR-induced sensory conflicts more effectively.
基金Construction Project of Teaching Quality and Teaching Reform Engineering for Undergraduate Universities in Guangdong Province(Project No.:2023-248)First-Class Undergraduate Course in Guangdong Province-Molecular Biology Experiment 2023+1 种基金Curriculum Ideology and Politics Demonstration Project of Lingnan Normal University(Project No.:2022-6&2024-44)Construction Project of Teaching Quality and Teaching Reform Engineering of Lingnan Normal University(Project No.:2024-24)。
文摘Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects of AI technology in molecular biology experimental teaching,this paper discusses the application of AI technology in molecular biology experimental teaching,focusing on the construction and application of virtual laboratories.At the same time,the advantages,challenges and future development directions of AI technology application are analyzed.The study found that AI technology has broad application prospects in molecular biology experimental teaching.AI technology can overcome many limitations in traditional experimental teaching,and can also provide personalized learning experience,real-time feedback and evaluation,and simulate complex molecular processes.However,the application of AI technology also faces challenges such as technology cost,teacher training,and curriculum design.In summary,the application of AI technology in molecular biology experimental teaching has significant advantages and can effectively improve teaching quality and learning effects.In the future,we should strengthen the integration of AI technology and traditional teaching methods,develop more AI teaching tools suitable for the characteristics of molecular biology,and focus on cultivating students’practical ability and innovative thinking.This study provides new ideas and directions for promoting the reform and innovation of molecular biology experimental teaching.
基金Project"863":Physical Model-based Dynamic Evolution Technology of a Complex Scene(2015AA016404)the SDUST Excellent Teaching Team Construction Plan.
文摘Background Machine learning-based beer bottle-defect detection is a complex technology that runs automatically;however,it consumes considerable memory,is expensive,and poses a certain danger when training novice operators.Moreover,some topics are difficult to learn from experimental lectures,such as digital image processing and computer vision.However,virtual simulation experiments have been widely used to good effect within education.A virtual simulation of the design and manufacture of a beer bottle-defect detection system will not only help the students to increase their image-processing knowledge,but also improve their ability to solve complex engineering problems and design complex systems.Methods The hardware models for the experiment(camera,light source,conveyor belt,power supply,manipulator,and computer)were built using the 3DS MAX modeling and animation software.The Unreal Engine 4(UE4)game engine was utilized to build a virtual design room,design the interactive operations,and simulate the system operation.Results The results showed that the virtual-simulation system received much better experimental feedback,which facilitated the design and manufacture of a beer bottle-defect detection system.The specialized functions of the functional modules in the detection system,including a basic experimental operation menu,power switch,image shooting,image processing,and manipulator grasping,allowed students(or virtual designers)to easily build a detection system by retrieving basic models from the model library,and creating the beer-bottle transportation,image shooting,image processing,defect detection,and defective-product removal.The virtual simulation experiment was completed with image processing as the main body.Conclusions By mainly focusing on bottle mouth defect detection,the detection system dedicates more attention to the user and the task.With more detailed tasks available,the virtual system will eventually yield much better results as a training tool for image processing education.In addition,a novel visual perception-thinking pedagogical framework enables better comprehension than the traditional lecture-tutorial style.
基金Supported by the Key Project of the National Science and Technology Pillar Programs (2008BAH29B05, 2008BAH29B06)Education Reform Project in Hubei Province(2009052)
文摘In this paper, the design of a virtual experiment system based on Flex and XML is described. The system adopts threelayer architecture and it is composed of four modules. Flex is used to design user interface, and XML is used as data format between layers or modules. Data services are used to store or retrieve the information of experiment components or experiment scenes. Principles for the design of simulation engine and simulation scheduler are discussed. The design of the simulation engine for ＂Digital Logic＂ course is described in detail. The system has been implemented in the experiment teaching of Digital Logic. Teaching results and the feedback from students demonstrate that the virtual experiment system can improve the effects of experiment teaching and arouse the learning interests of students.
基金The authors are grateful for financial support from the National Key Projects for Fundamental Research and Development of China(2021YFA1500803)the National Natural Science Foundation of China(51825205,52120105002,22102202,22088102,U22A20391)+1 种基金the DNL Cooperation Fund,CAS(DNL202016)the CAS Project for Young Scientists in Basic Research(YSBR-004).
文摘Photocatalysis,a critical strategy for harvesting sunlight to address energy demand and environmental concerns,is underpinned by the discovery of high-performance photocatalysts,thereby how to design photocatalysts is now generating widespread interest in boosting the conversion effi-ciency of solar energy.In the past decade,computational technologies and theoretical simulations have led to a major leap in the development of high-throughput computational screening strategies for novel high-efficiency photocatalysts.In this viewpoint,we started with introducing the challenges of photocatalysis from the view of experimental practice,especially the inefficiency of the traditional“trial and error”method.Sub-sequently,a cross-sectional comparison between experimental and high-throughput computational screening for photocatalysis is presented and discussed in detail.On the basis of the current experimental progress in photocatalysis,we also exemplified the various challenges associated with high-throughput computational screening strategies.Finally,we offered a preferred high-throughput computational screening procedure for pho-tocatalysts from an experimental practice perspective(model construction and screening,standardized experiments,assessment and revision),with the aim of a better correlation of high-throughput simulations and experimental practices,motivating to search for better descriptors.
文摘By stating the problems faced by the experiment of digital logic design course in traditional laboratory, the necessity of hardware experiment virtualization is analyzed, and then two virtual experiment methods are introduced. The pilot implementation of remote virtual experimental platform and virtual component library shows that the virtualization of hardware experiment can effectively break the time and space limitation of traditional hardware experiment, and improves the learning enthusiasm and autonomy of students, which is worth further promoted.
文摘Virtual simulation experiment teaching gradually becomes the trend of the computer-related education practice.Through analyzing the problems existed in current computer experiment teaching,this paper proposes the idea of building virtual simulation experiment platform based on 3R-4A computer system and clarifies the design technology,including frame,characteristic and innovation,resource sharing and management,condition protection and so on.
基金the National Key Research and Development Program of China(2018YFB1004901)Zhejiang Natural Science Fund Project of China(LY20F020019,LQ19F020012,LQ20F020001)+1 种基金Zhejiang Basic Public Welfare Research Project of China(LGF19E050005)and Major Scientific Research Project of Zhejiang Lab(2019MC0AD01).
文摘Background With the aim of addressing the difficulty in identifying temperatures in virtual chemistry experiments,we propose a temperature-sensing simulation method of virtual chemistry experiments.Methods We construct a virtual chemistry experiment temperature simulation platform,based on which a wearable temperature generation device is developed.The typical middle school virtual experiments of concentrated sulfuric acid dilution and ammonium nitrate dissolution are conducted to verify the actual effect of the device.Results The platform is capable to indicate near real-world experimental situations.The performance of the device not only meets the temperature sensing characteristics of human skin,but also matches the temperature change of virtual chemistry experiments in real-time.Conclusions It is demonstrated that this temperature-sensing simulation method can represent exothermic or endothermic chemistry experiments,which is beneficial for students to gain understanding of the principles of thermal energy transformation in chemical reactions,thus avoiding the danger that may be posed in the course of traditional teaching of chemistry experiments effectively.Although this method does not have a convenient enough operation for users,the immersion of virtual chemical experiments can be enhanced.
文摘In the university physics teaching, the application of virtual simulation experiment technology can provide reliable technical support for teachers. If teachers only use the traditional oral teaching method, the teaching effect is not ideal. Because the physics subject contains many experiments, if students cannot watch the experiment process, students thinking ability and practical ability will be affected. However, under the constraints of teaching conditions, some physics experiments cannot be carried out. With the help of virtual simulation experiment technology, under the virtual simulation experiment, the simulation degree is high and the operation is relatively simple, also has the advantage of safety and risk-free, to compensate for the deficiency of the traditional teaching methods. To a certain extent, also can innovate teaching methods, students can fully observe the physical phenomenon operation process, help students to master the corresponding knowledge. This paper expounds the characteristics of virtual simulation experiment and the application principles of virtual simulation technology in university physics experiment teaching, and proposes the application strategy of this technology.
基金the 2021 Experimental Teaching Reform Project of Shanghai University of Medicine&Health Sciences“Digital Signal Processing Course Design”(Project Number:JG(21)04-B4-02).
文摘This paper proposes the design and development of virtual experimental projects in the Digital Signal Processing course,using MATLAB,Proteus,and CCS platforms to develop a library of typical experimental cases for biomedical engineering majors and discusses the design process.Based on these typical cases,this paper explores the secondary design for innovative engineering practice case teaching,which can promote students’understanding and mastery of digital signal processing theories,algorithms,and technologies in an intuitive,flexible,and efficient way;quickly build new innovative engineering case models and further cultivate students’engineering application ability as well as innovative thinking.
