AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database...AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database of Solid-State Electrolyte(DDSE)demonstrate how machine learning and predictive modeling can improve catalyst and solid-state electrolyte development.These databases facilitate data standardization,high-throughput screening,and cross-disciplinary collaboration,addressing key challenges in materials informatics.As AI techniques advance,materials databases are expected to play an increasingly vital role in accelerating research and innovation.展开更多
For computer science majors in higher education institutions,programming courses are one of the most important professional foundation courses.Proficiency in independent programming skills is of great help to the stud...For computer science majors in higher education institutions,programming courses are one of the most important professional foundation courses.Proficiency in independent programming skills is of great help to the study of subsequent courses and the personal development of students.In the teaching process of programming courses,online judgement systems are often used to improve students’programming level.Traditional online judgement systems lack guidance for students,and it is often difficult for inexperienced students to find and correct errors in their codes by themselves.We propose an online judgement system that integrates a large model of error correction to help students find errors and improve their programming skills.展开更多
As more and more teachers and students in China are using Al tools,it has stirred wide public concern about how to maintain academic honesty and critical thinking。When homework piles high,and deadlines draw so nigh,w...As more and more teachers and students in China are using Al tools,it has stirred wide public concern about how to maintain academic honesty and critical thinking。When homework piles high,and deadlines draw so nigh,who do we turn to,quick and wise?DeepSeek Chat-our saving prize!Titled“DeepSeek to the Rescue”this is from a poem written by the large language model using the prompt"students using DeepSeek to do homework."Zhang Siling,an eighth grader at Beijing No.18 Middle School,has used DeepSeek to help write a composition for her Chinese class.She typed in the question,and in seconds DeepSeek generated a nicely written article.展开更多
The intricately complex structures of natural biological materials,which endow them with exceptional properties,serve as unparalleled models and sources of inspiration for the design of synthetic materials.However,tra...The intricately complex structures of natural biological materials,which endow them with exceptional properties,serve as unparalleled models and sources of inspiration for the design of synthetic materials.However,translating these structures into metallic systems poses formidable challenges due to the demanding conditions required for metal processing.This brief perspective spotlights the 3D interpenetrating‐phase structures evolved in biological materials and distills key insights for bioinspired structural design in metallic materials.We highlight recent advancements in creating bioinspired metal composites,particularly through advanced processing techniques like metal melt infiltration into porous scaffolds,achieving remarkable synergies between various mechanical properties and functionalities.Additionally,AI‐driven approaches show immense potential to accelerate the iterative process of optimizing structures and properties in bioinspired designs.展开更多
Looking back through history,humans have always used tools whose underlying principles they did not fully comprehend.From using herbal remedies based on empirical efficacy to enjoying the convenience of online payment...Looking back through history,humans have always used tools whose underlying principles they did not fully comprehend.From using herbal remedies based on empirical efficacy to enjoying the convenience of online payments without examining the intricacies of backend transaction processing,once a tool’s effectiveness is proven,we tend to adopt and use it without fully understanding its inner workings,focusing more on what it does than on how it does it.Today,artificial intelligence(AI)plays a similar role in the field of disease diagnosis.By relying on deep learning models with massive parameters and complex networks,AI can capture critical information that the human eyes can hardly detect,demonstrating remarkable potential in identifying early-stage tumors,lesions,andmore,even outperforming human experts in metrics.展开更多
文摘AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database of Solid-State Electrolyte(DDSE)demonstrate how machine learning and predictive modeling can improve catalyst and solid-state electrolyte development.These databases facilitate data standardization,high-throughput screening,and cross-disciplinary collaboration,addressing key challenges in materials informatics.As AI techniques advance,materials databases are expected to play an increasingly vital role in accelerating research and innovation.
基金supported by Research and Construction of Experimental Teaching Aid Platform for Programming under the Teaching Reform Research Project of Shandong University。
文摘For computer science majors in higher education institutions,programming courses are one of the most important professional foundation courses.Proficiency in independent programming skills is of great help to the study of subsequent courses and the personal development of students.In the teaching process of programming courses,online judgement systems are often used to improve students’programming level.Traditional online judgement systems lack guidance for students,and it is often difficult for inexperienced students to find and correct errors in their codes by themselves.We propose an online judgement system that integrates a large model of error correction to help students find errors and improve their programming skills.
文摘As more and more teachers and students in China are using Al tools,it has stirred wide public concern about how to maintain academic honesty and critical thinking。When homework piles high,and deadlines draw so nigh,who do we turn to,quick and wise?DeepSeek Chat-our saving prize!Titled“DeepSeek to the Rescue”this is from a poem written by the large language model using the prompt"students using DeepSeek to do homework."Zhang Siling,an eighth grader at Beijing No.18 Middle School,has used DeepSeek to help write a composition for her Chinese class.She typed in the question,and in seconds DeepSeek generated a nicely written article.
基金support by the National Key R&D Program of China(2020YFA0710404)the National Natural Science Foundation of China(52471152,52173269 and 52321001)+2 种基金the Youth Innovation Promotion Association CAS(2019191)the Multi‐University Research Initiative(AFOSR‐FA9550‐15‐1‐0009)from the Air Force Office of Scientific ResearchShaanxi Qinchuangyuan Cited Highlevel Innovation and Entrepreneurial Talents Project(2025RC‐YJRC‐029).
文摘The intricately complex structures of natural biological materials,which endow them with exceptional properties,serve as unparalleled models and sources of inspiration for the design of synthetic materials.However,translating these structures into metallic systems poses formidable challenges due to the demanding conditions required for metal processing.This brief perspective spotlights the 3D interpenetrating‐phase structures evolved in biological materials and distills key insights for bioinspired structural design in metallic materials.We highlight recent advancements in creating bioinspired metal composites,particularly through advanced processing techniques like metal melt infiltration into porous scaffolds,achieving remarkable synergies between various mechanical properties and functionalities.Additionally,AI‐driven approaches show immense potential to accelerate the iterative process of optimizing structures and properties in bioinspired designs.
基金supported by the National Key R&D Program of China(grant number 2023YFC2415200 to D.D.)National Natu-ral Science Foundation of China(grant numbers 82361168664,82372053,82441018,and U24A20759 to D.D.+1 种基金82302296 to M.F.)Beijing Natural Science Foundation(grant number JQ24048 to D.D.).
文摘Looking back through history,humans have always used tools whose underlying principles they did not fully comprehend.From using herbal remedies based on empirical efficacy to enjoying the convenience of online payments without examining the intricacies of backend transaction processing,once a tool’s effectiveness is proven,we tend to adopt and use it without fully understanding its inner workings,focusing more on what it does than on how it does it.Today,artificial intelligence(AI)plays a similar role in the field of disease diagnosis.By relying on deep learning models with massive parameters and complex networks,AI can capture critical information that the human eyes can hardly detect,demonstrating remarkable potential in identifying early-stage tumors,lesions,andmore,even outperforming human experts in metrics.
