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Southeast University Department of Materials Science and Engineering 被引量:1
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《China Foundry》 SCIE CAS 2005年第1期76-76,共1页
关键词 Southeast University Department of materials science and engineering THAN
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School of Materials Science and Engineering, Harbin Institute of Technology
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《中国有色金属学会会刊:英文版》 CSCD 2005年第S2期303-303,共1页
关键词 Harbin Institute of Technology School of materials science and engineering
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Molecular Dynamics (MD) Applications in Materials Science and Engineering and Nanotechnology
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作者 Rishaad Khan 《Journal of Materials Science and Chemical Engineering》 2023年第11期1-6,共6页
Molecular dynamics (MD) is a computer simulation technique that helps to explore the behavior and properties of molecules and atoms. MD has been used in research and development in many spaces, including materials sci... Molecular dynamics (MD) is a computer simulation technique that helps to explore the behavior and properties of molecules and atoms. MD has been used in research and development in many spaces, including materials science and engineering and nanotechnology. MD has been proven useful in topics like the nano-engineering of construction materials, correcting graphene planar defects, studying self-assembling bio-materials, and the densification, consolidation, and sintering of nanocrystalline materials. 展开更多
关键词 materials science and engineering NANOTECHNOLOGY Molecular Dynamics
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APPLIED MATHEMATICS AND MECHANICS
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《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2005年第8期F0002-F0002,共1页
A number of (1) Ph.D. graduate research fellowships, (2) postdoctoral fellowships, and (3) undergraduate research fellowships are available immediately in the area of neutron-diffraction materials research. Candidates... A number of (1) Ph.D. graduate research fellowships, (2) postdoctoral fellowships, and (3) undergraduate research fellowships are available immediately in the area of neutron-diffraction materials research. Candidates with strong backgrounds in Materials Science, Metallurgy (including Processing, and Mechanical/Physical Behavior), Computational Materials Science, Mechanical/Civil Engineering, Physics, Computer Science and Engineering, or a related field are encouraged to apply. The research activities will focus on the subjects of (1) in-situ neutron-diffraction characterization of mechanical behavior (plasticity, twinning, fatigue, and creep deformation) of advanced ma- 展开更多
关键词 Ph GRADUATE RESEARCH FELLOWSHIPS POSTDOCTORAL RESEARCH FELLOWSHIPS UNDERGRADUATE RESEARCH FELLOWSHIPS materials science and engineering The University of Tennessee Knoxville
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Disassembly,refinement,and reassembly:From ancient papermaking to modern materials processing
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作者 Jing Shen Meiyun Zhang 《Journal of Bioresources and Bioproducts》 2025年第1期7-13,共7页
Papermaking,a cornerstone of human civilization and one of China’s Four Great Inventions,exem-plifies the enduring legacy of ancient ingenuity in shaping modern materials science.Originating from the groundbreaking w... Papermaking,a cornerstone of human civilization and one of China’s Four Great Inventions,exem-plifies the enduring legacy of ancient ingenuity in shaping modern materials science.Originating from the groundbreaking work of Lun Cai and his team,the papermaking process involves the meticulous disassembly,refinement,and reassembly of natural fibers into cohesive sheets:a pro-cess that,while refined,has remained fundamentally unchanged for nearly 2000 years.This work explores the pivotal role of papermaking in contemporary society within the broader context of materials science,highlighting its fundamental principles and the remarkable versatility of its scalable process.Papermaking,once central to the dissemination of knowledge worldwide,has now evolved into a key player in the sustainable production of environmentally friendly products,touching every aspect of modern life.The principles underlying papermaking have inspired the development of novel materials,with techniques such as vacuum filtration paving the way for innovations like nanopapers based on a diverse group of building blcoks.Looking ahead,the field presents significant opportunities in sustainable sourcing,the creation of eco-friendly packaging,and the development of advanced materials with applications in healthcare and beyond.The en-during relevance of papermaking lies in its adaptability,versatility,and boundless potential for future innovation. 展开更多
关键词 Advanced material Fiber network Lignocellulosic product materials science and engineering PAPERMAKING Renewable resource
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Machine learning for advanced energy materials 被引量:8
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作者 Yun Liu Oladapo Christopher Esan +1 位作者 Zhefei Pan Liang An 《Energy and AI》 2021年第1期22-48,共27页
The screening of advanced materials coupled with the modeling of their quantitative structural-activity relation-ships has recently become one of the hot and trending topics in energy materials due to the diverse chal... The screening of advanced materials coupled with the modeling of their quantitative structural-activity relation-ships has recently become one of the hot and trending topics in energy materials due to the diverse challenges,including low success probabilities,high time consumption,and high computational cost associated with the traditional methods of developing energy materials.Following this,new research concepts and technologies to promote the research and development of energy materials become necessary.The latest advancements in ar-tificial intelligence and machine learning have therefore increased the expectation that data-driven materials science would revolutionize scientific discoveries towards providing new paradigms for the development of en-ergy materials.Furthermore,the current advances in data-driven materials engineering also demonstrate that the application of machine learning technology would not only significantly facilitate the design and development of advanced energy materials but also enhance their discovery and deployment.In this article,the importance and necessity of developing new energy materials towards contributing to the global carbon neutrality are presented.A comprehensive introduction to the fundamentals of machine learning is also provided,including open-source databases,feature engineering,machine learning algorithms,and analysis of machine learning model.Afterwards,the latest progress in data-driven materials science and engineering,including alkaline ion battery materials,pho-tovoltaic materials,catalytic materials,and carbon dioxide capture materials,is discussed.Finally,relevant clues to the successful applications of machine learning and the remaining challenges towards the development of advanced energy materials are highlighted. 展开更多
关键词 Energy materials Artificial intelligence Machine learning Data-driven materials science and engineering Prediction of materials properties Design and discovery of energy materials
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