Artificial Intelligence and Multiscale Modeling for Computational Materials Design
Shu-Wei Chang, National Taiwan University Chi-Hua Yu, Massachusetts Institute of Technology Li-Wei Liu, National Cheng Kung University Zhao Qin, Massachusetts Institute of Technology
In recent years, artificial intelligence has been employed by scientists to develop new methods and applications in many fields. Novel artificial intelligence and first-principles-based multiscale modeling could lead to breakthroughs for the discovery of new materials and the design of advanced materials for many engineering applications. The persisting growth of artificial intelligence and multiscale modeling has strongly reshaped the way materials scientists process and analyze materials. Multiscale modeling provides an accurate computational model for materials design while artificial intelligence provides a framework for computers to learn from computational models and accelerate the development of new materials. The integration of artificial intelligence and multiscale modeling has brought great opportunities for the field of computational modeling. It goes without saying, more and more research efforts have been devoted to this area. Following by this tremendous accomplishment, artificial intelligence along with multiscale modeling will be able to accelerate the developing process of novel materials with advanced mechanical, thermal, electrical, optical and biological functions for broad engineering applications.
This minisymposium focuses on challenges in the various areas of computational materials design. Its scope includes but not limited to:
