Materials integrated computation and intelligent design

The launching integrated computational materials engineering (ICME) and materials genome engineering (MGE) has led the transformation of design paradigms of empirical and theoretical ones to the rational computational one that further provides the basis for the data-driven design paradigm by integrating the high-throughput techniques in experiments and computations, the big data science with general principles, the informatics with knowledge discovery based on data mining and machine learning, and ultimately enabling the possibility of materials intelligence design (MID) via artificial intelligence. We highlight the intelligent solution to acquire the property-structure-process-performance relationship of multilevel-structured materials by emphasizing modularization, automation, standardization, integration and intelligence, following the hierarchical relationship of data, information, knowledge and wisdom, which is fundamentally different from the past empirical, theoretical and computational paradigms. The new era of MID is expected to fundamentally reform the material innovation mode through an integrated infrastructure guided by novel concepts that is fundamentally different from the way of thinking and doing in the past empirical, theoretical and computational paradigms, providing a perspective scientific vision and direction for future materials design.

Please go to Computation or Informatics

References:

R. F. Zhang*, T. F. Xu, B. N. Yao, and Z. R. Liu. Perspectives in the new era of materials intelligent design, Materials Lab 1, 220017 (2022).