德克萨斯A&M工程研究小组正在利用机器学习、数据科学等人工智能（AI）知识的力量，自主发现新材料。

Artificial intelligence meets materials science

https://www.sciencedaily.com/releases/2018/12/181218144239.htm

1. Anjana Talapatra, S. Boluki, T. Duong, X. Qian, E. Dougherty, R. Arróyave. Autonomous efficient experiment design for materials discovery with Bayesian model averaging. Physical Review Materials, 2018; 2 (11) DOI: 10.1103/PhysRevMaterials.2.113803

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机器学习揭示分子笼的节能潜力

Machine-learning research unlocking molecular cages' energy-saving potential

https://www.sciencedaily.com/releases/2018/12/181218144225.htm

1. Arni Sturluson, Melanie T. Huynh, Arthur H. P. York, Cory M. Simon. Eigencages: Learning a Latent Space of Porous Cage Molecules. ACS Central Science, 2018; DOI: 10.1021/acscentsci.8b00638