Towards informatics-driven design of nuclear waste forms-Reference-Cited by-同舟云学术

Towards informatics-driven design of nuclear waste forms

Published:2024 Issue:8 Volume:3 Page:1450-1466
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Hegde Vinay I.¹,Peterson Miroslava²,Allec Sarah I.¹^ORCID,Lu Xiaonan²^ORCID,Mahadevan Thiruvillamalai³,Nguyen Thanh³,Kalahe Jayani³,Oshiro Jared²,Seffens Robert J.²,Nickerson Ethan K.²,Du Jincheng³^ORCID,Riley Brian J.²^ORCID,Vienna John D.²,Saal James E.¹^ORCID

Affiliation:

1. Citrine Informatics, Redwood City, CA 94063, USA

2. Pacific Northwest National Laboratory, Richland, WA 99352, USA

3. University of North Texas, Denton, TX 76203, USA

Abstract

Informatics-driven approaches, such as machine learning and sequential experimental design, have shown the potential to drastically impact next-generation materials discovery and design.

Funder

Advanced Research Projects Agency – Energy

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/DD/D4DD00096J

Reference123 articles.

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