Abstract
A comprehensive review focused on the recent advancement of artificial intelligence (AI) powered materials research from various aspects, including material discovery, synthesis, prediction and validation, is presented. The design strategies for the enhanced performance of AI for materials can be implemented from various procedures for cognizance of existing materials and discovery of novel materials with the data processing, algorithm design and automated laboratory construction included. A broad outlook on the future considerations of the AI systems for material is proposed.
Author supplied keywords
Cite
CITATION STYLE
Cao, Y., Fu, H., Lu, J., Chen, Y., Jing, T., Fan, X., & Xu, B. (2026, December 1). Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation. Nano-Micro Letters. Springer Science and Business Media B.V. https://doi.org/10.1007/s40820-025-01945-4
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.