C1) AI and Computation for Materials Science and Engineering Across All Scales
Chair(s): Hua Li (NTU), Fangsen Cui (IAIC, A*STAR) Co-Chair(s): Zishun Liu (City.U of Hong Kong, Hong Kong China), Nimal Rajapakse (Simon Fraser University, Canada), Xujian Lyu (Nanjing University of Science and Technology, China) Symposium Scope/Topics This symposium aims to promote international exchange of new knowledge and recent development in all aspects of computational modeling and simulation of advanced materials systems and their engineering application, especially featuring the most advanced mathematical modeling and numerical methodology developments. It includes all classes of materials (such as metals, polymers, ceramics, composites, biomaterials, nanomaterials, etc.) and their structures (functional solids, soft matter, multiphase materials, coatings, etc.). Of specific interest are the underlying physics and chemistry governing the functional elements of the materials, and these functions include (but are not limited to) structural, thermal, chemical, magnetic, or their interdisciplinary combination. Although the analytical and numerical analyses of these functional elements of materials constitute the main highlights of this symposium, important computational studies of other aspects will also be welcome, such as imperfections in materials and their resulting limitations, novel processes for advanced materials synthesis, engineering of material properties, environmental consideration in material performance, etc. The topics include, but are not limited to Methodology Development/Refinement Artificial intelligence Ab Initio Continuum modeling Device level simulation Digital materials design Empirical molecular dynamics Multiphase modeling Multiphysics modeling Multiscale modeling Semi-empirical Modeling of Novel Material Systems Biomaterials & Medical devices Catalytic materials Composite materials & Metamaterials Electrochemical materials Green materials Ionic liquids Mechanobiology (bones, arteries, organs, implantable devices) Magnetic materials Polymeric systems Soft materials & Morphing structures Modeling of Novel Nanomaterials Low-dimensional nanomaterials Nanocomposites Nanofilms, nanoholes, nanodots Nanocrystalline, nanophase, nanostructured materials Inorganic macromolecules AI for Materials Science & Engineering Materials high-throughput computation, prediction, and design Materials database and big data technology Automated Laboratories Generative AI Invited Speakers To be confirmed This symposium aims to promote international exchange of new knowledge and recent development in all aspects of computational modeling and simulation of advanced materials systems and their engineering application, especially featuring the most advanced mathematical modeling and numerical methodology developments. It includes all classes of materials (such as metals, polymers, ceramics, composites, biomaterials, nanomaterials, etc.) and their structures (functional solids, soft matter, multiphase materials, coatings, etc.). Of specific interest are the underlying physics and chemistry governing the functional elements of the materials, and these functions include (but are not limited to) structural, thermal, chemical, magnetic, or their interdisciplinary combination. Although the analytical and numerical analyses of these functional elements of materials constitute the main highlights of this symposium, important computational studies of other aspects will also be welcome, such as imperfections in materials and their resulting limitations, novel processes for advanced materials synthesis, engineering of material properties, environmental consideration in material performance, etc. The topics include, but are not limited to Methodology Development/Refinement Artificial intelligence Ab Initio Continuum modeling Device level simulation Digital materials design Empirical molecular dynamics Multiphase modeling Multiphysics modeling Multiscale modeling Semi-empirical Modeling of Novel Material Systems Biomaterials & Medical devices Catalytic materials Composite materials & Metamaterials Electrochemical materials Green materials Ionic liquids Mechanobiology (bones, arteries, organs, implantable devices) Magnetic materials Polymeric systems Soft materials & Morphing structures Modeling of Novel Nanomaterials Low-dimensional nanomaterials Nanocomposites Nanofilms, nanoholes, nanodots Nanocrystalline, nanophase, nanostructured materials Inorganic macromolecules AI for Materials Science & Engineering Materials high-throughput computation, prediction, and design Materials database and big data technology Automated Laboratories Generative AI To be confirmed
