Progress and prospects for accelerating materials science with automated and autonomous workflows-Reference-Cited by-同舟云学术

Progress and prospects for accelerating materials science with automated and autonomous workflows

Published:2019 Issue:42 Volume:10 Page:9640-9649
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Stein Helge S.¹²³⁴^ORCID,Gregoire John M.¹²³⁴⁵^ORCID

Affiliation:

1. Joint Center for Artificial Photosynthesis

2. California Institute of Technology

3. Pasadena

4. USA

5. Division of Engineering and Applied Science

Abstract

Integrating automation with artificial intelligence will enable scientists to spend more time identifying important problems and communicating critical insights, accelerating discovery and development of materials for emerging and future technologies.

Funder

Air Force Office of Scientific Research

U.S. Department of Energy

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/SC/C9SC03766G

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3. X.-D. Xiang and I.Takeuchi , Combinatorial Materials Synthesis , CRC Press , 2003

4. Combinatorial solid-state chemistry of inorganic materials

5. Combinatorial and High-Throughput Materials Science

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