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Advancing materials discovery through artificial intelligence
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AI
DOI：10.1016/j.apmt.2025.102981.png)
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Abstract
En 中文
• AI accelerates material design, synthesis, and characterization. • ML-based force fields offer accuracy of ab initio methods with lower cost. • Autonomous labs enable self-driving discovery and optimization. • Generative models propose new materials and synthesis routes. • Explainable AI improves model trust and scientific insight.
Keywords:
Artificial intelligence
Machine learning
Materials discovery
Generative models
Autonomous laboratories
Force fields
Explainable AI
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