Twice-painting technique was adopted to prepare heavy-duty anticorrosive coating films formed by aqueous latexes of copolymers of vinylidene chloride（VDC） with an acrylate, namely methyl acrylate（MA）, ethyl acryl...Twice-painting technique was adopted to prepare heavy-duty anticorrosive coating films formed by aqueous latexes of copolymers of vinylidene chloride（VDC） with an acrylate, namely methyl acrylate（MA）, ethyl acrylate（EA）, butyl acrylate（BA） or 2-ethylhexyl acrylate（EHA）. Harsh salt-spray corrosion tests demonstrated that the optimized twicepainting technique was that the acidic latex solution was adjusted to p H 5-6 for the first painting, while it was utilized directly for the second painting. The test of 600 h of harsh salt-spray corrosion showed that MA-VDC85 coating could protect the steel excellently, whereas the other acrylate-VDC coatings with 75%-90% VDC content could not protect the steel so effectively. Further corrosion test showed that（1） MA-VDC85 coating protected steel from loss of metallic luster for at least 1000 h of salt-spray corrosion;（2） adhesion of MA-VDC85 coating to steel was excellent for at least 800 h of saltspray corrosion, but became very poor after 1000 h. Differential scanning calorimetry, thermogravimetric analysis, X-ray photoelectron spectroscopy and Fourier-transform infrared spectroscopy were used to evaluate the corroded MA-VDC85 film.展开更多
The mixed teaching mode plays an increasingly important role in stimulating students’interest and autonomy in learning,and strengthening students’learning ability.The full integration of mixed teaching mode and micr...The mixed teaching mode plays an increasingly important role in stimulating students’interest and autonomy in learning,and strengthening students’learning ability.The full integration of mixed teaching mode and microelectronics teaching can not only achieve the teaching objectives smoothly,but also enable students to deepen their understanding and memory of relevant knowledge with the help of diversified and interesting teaching methods.Therefore,this paper takes the microelectronics course as an example to practice and explore the effective ways to carry out the mixed teaching mode.Teachers should not make full use of online and offline teaching resources,but also actively improve the traditional assessment systems.Through the continuous improvement of the practicality of online and offline teaching content,an easy-to-complex teaching method with a coherent content structure can be adopted to stimulate students’learning motivation,improve their enthusiasm for participation,and lay a solid foundation for further improvements in the teaching of microelectronics technology.展开更多
Low-dimensional materials have attracted significant interest for their unique properties,including high surface area,confined but tunable electronics and superior catalysis,making them ideal for environmental applica...Low-dimensional materials have attracted significant interest for their unique properties,including high surface area,confined but tunable electronics and superior catalysis,making them ideal for environmental applications.Their potential to address key challenges in solar energy conversion and in-situ remediation highlights their importance in advancing environmental sustainability.However,traditional methods of low-dimensional material design face significant obstacles,such as scalability limitations,high computational costs,and the inherent difficulty in accurate prediction of material properties,underscoring the need for innovative approaches.Here,we demonstrate an AI-driven evolution of low-dimensional material design for sustainable environmental solutions,from the traditional techniques in the past,through the present transition to computational approaches,to the prospect where AI-enabled strategies exhibit the supremacy.This review covers properties of low-dimensional materials and the fundamental design principles,emphasizing the pivotal role of deep learning in optimizing and accelerating design of advanced functional materials.Further explorations focus on their applications for sustainable environmental solutions,including pollution remediation,water purification,nitrogen fixation,CO_(2) reduction as well as hydrogen and hydrogen peroxide production.Ultimately,the key challenges and future trends are identified in the aspects of algorithm,intelligence and scalability for environmental applications.This work offers a comprehensive overview on the evolution pathway of design strategies for low-dimensional materials driven by AI methodology,demonstrating transformative insights that not only accelerate the discovery of low-dimensional materials,but also motivate the environmental applications in various domains.展开更多
基金financially supported by the Program for New Century Excellent Talents in Universitiesthe National Natural Science Foundation of China(No.21074088)
文摘Twice-painting technique was adopted to prepare heavy-duty anticorrosive coating films formed by aqueous latexes of copolymers of vinylidene chloride（VDC） with an acrylate, namely methyl acrylate（MA）, ethyl acrylate（EA）, butyl acrylate（BA） or 2-ethylhexyl acrylate（EHA）. Harsh salt-spray corrosion tests demonstrated that the optimized twicepainting technique was that the acidic latex solution was adjusted to p H 5-6 for the first painting, while it was utilized directly for the second painting. The test of 600 h of harsh salt-spray corrosion showed that MA-VDC85 coating could protect the steel excellently, whereas the other acrylate-VDC coatings with 75%-90% VDC content could not protect the steel so effectively. Further corrosion test showed that（1） MA-VDC85 coating protected steel from loss of metallic luster for at least 1000 h of salt-spray corrosion;（2） adhesion of MA-VDC85 coating to steel was excellent for at least 800 h of saltspray corrosion, but became very poor after 1000 h. Differential scanning calorimetry, thermogravimetric analysis, X-ray photoelectron spectroscopy and Fourier-transform infrared spectroscopy were used to evaluate the corroded MA-VDC85 film.
文摘The mixed teaching mode plays an increasingly important role in stimulating students’interest and autonomy in learning,and strengthening students’learning ability.The full integration of mixed teaching mode and microelectronics teaching can not only achieve the teaching objectives smoothly,but also enable students to deepen their understanding and memory of relevant knowledge with the help of diversified and interesting teaching methods.Therefore,this paper takes the microelectronics course as an example to practice and explore the effective ways to carry out the mixed teaching mode.Teachers should not make full use of online and offline teaching resources,but also actively improve the traditional assessment systems.Through the continuous improvement of the practicality of online and offline teaching content,an easy-to-complex teaching method with a coherent content structure can be adopted to stimulate students’learning motivation,improve their enthusiasm for participation,and lay a solid foundation for further improvements in the teaching of microelectronics technology.
基金financially supported by the National Natural Science Foundation of China(No.11704055)Liaoning Applied Fundamental Research Project(No.2025JH2/101330046)the Fundamental Research Funds for the Central Universities(Nos.3132025613,3132025244 and 3132025246)
文摘Low-dimensional materials have attracted significant interest for their unique properties,including high surface area,confined but tunable electronics and superior catalysis,making them ideal for environmental applications.Their potential to address key challenges in solar energy conversion and in-situ remediation highlights their importance in advancing environmental sustainability.However,traditional methods of low-dimensional material design face significant obstacles,such as scalability limitations,high computational costs,and the inherent difficulty in accurate prediction of material properties,underscoring the need for innovative approaches.Here,we demonstrate an AI-driven evolution of low-dimensional material design for sustainable environmental solutions,from the traditional techniques in the past,through the present transition to computational approaches,to the prospect where AI-enabled strategies exhibit the supremacy.This review covers properties of low-dimensional materials and the fundamental design principles,emphasizing the pivotal role of deep learning in optimizing and accelerating design of advanced functional materials.Further explorations focus on their applications for sustainable environmental solutions,including pollution remediation,water purification,nitrogen fixation,CO_(2) reduction as well as hydrogen and hydrogen peroxide production.Ultimately,the key challenges and future trends are identified in the aspects of algorithm,intelligence and scalability for environmental applications.This work offers a comprehensive overview on the evolution pathway of design strategies for low-dimensional materials driven by AI methodology,demonstrating transformative insights that not only accelerate the discovery of low-dimensional materials,but also motivate the environmental applications in various domains.
