Proposal Papers for Policy Making and Governmental Action toward Low Carbon Society

LCS-FY2017-PP-13

Synthetic Materials Design:
Fusion of 1D CAE and Data-utilized Materials Research

Summary

 In this article, we have discussed in silico methods to predict relationships between the microscopic principles of physics and macroscopic phenomena of materials. One such method is based on first principles calculations, in which systems are treated as condensed matter consisting of atoms.

 Analyses suggested that we would be unable to handle a large enough number of atoms directly by this method, to investigate the macroscopic phenomena in the near future. On the other hand, multi-scale simulations, in which different methods of simulation from micro- to macro-scales are interconnected, are becoming a realistic means of bridging the gap between the micro- and macro-scales. However, trial and error is vital to multi-scale simulations, for determining how to combine the methods in question and/or how to select the feature values necessary to describe the macroscopic phenomena in focus. In order to discern the optimal combinations of methods and/or selects the feature values, it is effective to regard the whole system using a simple model, known as 1D CAE, that focuses only on functions rather than on describing the structure. We propose a scheme to establish a new method, applying 1D CAE in concert with “data-utilized materials research” as a revolutionary method to design materials.

All Pages

Related Proposal Papers