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Artificial Intelligence-Powered Materials Science

Authors: Xiaopeng Bai; Xingcai Zhang

DOI: 10.1007/s40820-024-01634-8Status: Verified Translated Edition
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Key Findings in This Report

• AI and machine learning techniques are applied across various aspects of materials science, accelerating material development and discovery. • Major challenges in AI-driven materials science are evaluated, including data quality, model interpretability, and integration with experimental workflows. • Novel case studies demonstrate the impact of AI on accelerating material development and discovery, leading to sustainable solutions. • The synergistic collaboration between AI and materials science is poised to realize a future propelled by advanced AI-powered materials.