How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science-Reference-Cited by-同舟云学术

How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science

Published:2024 Issue:15 Volume:15 Page:5660-5673
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Montoya Joseph H.¹^ORCID,Grimley Carolyn²,Aykol Muratahan¹,Ophus Colin³,Sternlicht Hadas³⁴^ORCID,Savitzky Benjamin H.³,Minor Andrew M.³⁴,Torrisi Steven B.¹^ORCID,Goedjen Jackson⁵^ORCID,Chung Ching-Chang²,Comstock Andrew H.⁵,Sun Shijing¹

Affiliation:

1. Toyota Research Institute, Energy and Materials Division, Accelerated Materials Design and Discovery, USA

2. Lucideon, USA

3. National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley Lab, USA

4. Department of Materials Science and Engineering, University of California, Berkeley, USA

5. North Carolina State University, Department of Physics, USA

Abstract

Exploratory synthesis has been the main generator of new inorganic materials for decades. AI-assisted discovery is possible, but human-AI collaboration should be refined according to their respective strengths.

Funder

National Science Foundation

U.S. Department of Energy

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SC/D3SC04823C

Reference49 articles.

1. Conceptual Inorganic Materials Discovery - A Road Map

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5. Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloy

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