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Reaching critical MASS: Crowdsourcing designs for the next generation of materials acceleration platforms

2022; Elsevier BV; Volume: 5; Issue: 7 Linguagem: Inglês

10.1016/j.matt.2022.05.035

2590-2393

Martin Seifrid, Jason Hattrick‐Simpers, Alán Aspuru‐Guzik, Tom Kalil, Steve Cranford,

Electronic and Structural Properties of Oxides

Over the past decades, continual advancement of computational power has led to the prevalence of automation across science, industry, and society, whereby digital solutions were developed algorithmically to exploit technical knowledge of a problem. However, we are currently entering a critical period of computational innovation, particularly in materials science. Non-intuitive materials acceleration for societal solutions (MASS) can now potentially be uncovered by computational machine learning, artificial intelligence, and other self-driving methods for materials discovery. Herein, we invite the ideas for the next generation of materials acceleration platforms (MAPs). Help us reach critical mass of ideas and start a new materials reaction. Over the past decades, continual advancement of computational power has led to the prevalence of automation across science, industry, and society, whereby digital solutions were developed algorithmically to exploit technical knowledge of a problem. However, we are currently entering a critical period of computational innovation, particularly in materials science. Non-intuitive materials acceleration for societal solutions (MASS) can now potentially be uncovered by computational machine learning, artificial intelligence, and other self-driving methods for materials discovery. Herein, we invite the ideas for the next generation of materials acceleration platforms (MAPs). Help us reach critical mass of ideas and start a new materials reaction.