Artigo Acesso aberto Revisado por pares

A self-driving laboratory advances the Pareto front for material properties

2022; Nature Portfolio; Volume: 13; Issue: 1 Linguagem: Inglês

10.1038/s41467-022-28580-6

ISSN

2041-1723

Autores

Benjamin P. MacLeod, Fraser G. L. Parlane, Connor C. Rupnow, Kevan E. Dettelbach, Michael S. Elliott, Thomas D. Morrissey, Ted H. Haley, Oleksii Proskurin, Michael B. Rooney, Nina Taherimakhsousi, David Dvořák, Hsi Nien Chiu, Christopher E. B. Waizenegger, Karry Ocean, Mehrdad Mokhtari, Curtis P. Berlinguette,

Tópico(s)

Machine Learning in Materials Science

Resumo

Useful materials must satisfy multiple objectives, where the optimization of one objective is often at the expense of another. The Pareto front reports the optimal trade-offs between these conflicting objectives. Here we use a self-driving laboratory, Ada, to define the Pareto front of conductivities and processing temperatures for palladium films formed by combustion synthesis. Ada discovers new synthesis conditions that yield metallic films at lower processing temperatures (below 200 °C) relative to the prior art for this technique (250 °C). This temperature difference makes possible the coating of different commodity plastic materials (e.g., Nafion, polyethersulfone). These combustion synthesis conditions enable us to to spray coat uniform palladium films with moderate conductivity (1.1 × 10

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