Teaching Machines to Design Ceramics

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Episode 83 of the Professor Alex Volinsky podcast. High-entropy ceramics pack five-plus elements on one sublattice; the composition space is too vast for trial and error, so machine learning guides the search to predicted hardness and stability. The paper's numbers pending abstract retrieval. Based on the paper: Design of Superhard High-entropy Ceramics Coatings via Machine Learning; X. Xu, S. Wu, L. Yan, T. Guo, K. Gao, X. Pang, A.A. Volinsky; Ceramics International, 2022, Vol. 48(21), pp. 32064-32072. Hosts Elena and Marcus. AI-generated voices.

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Teaching Machines to Design Ceramics

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