Materials science and engineering: New vision in the era of artificial intelligence

TL;DR

This paper reviews the evolution of materials science and introduces a data-intensive MSE model leveraging AI to accelerate materials discovery and innovation.

Contribution

It proposes the DIMSE model, a novel data-driven approach, to transform materials science research in the AI era.

Findings

Review of classical MSE models

Introduction of the DIMSE model

Potential to accelerate materials discovery

Abstract

Scientific discovery evolves from the experimental, through the theoretical and computational, to the current data-intensive paradigm. Materials science is no exception, especially for computational materials science. In recent years, great achievements have been made in the field of materials science and engineering (MSE). Here, we review the previous paradigms of materials science and some classical MSE models. Then, our data-intensive MSE (DIMSE) model is proposed to reshape future materials innovations. This work will help to address the global challenge for materials discovery in the era of artificial intelligence (AI), and essentially contribute to accelerating future materials continuum.