Machine learning for materials science: Barriers to broader adoption-Reference-Cited by-同舟云学术

Machine learning for materials science: Barriers to broader adoption

Published:2023-05 Issue:5 Volume:6 Page:1320-1323
ISSN:2590-2385
Container-title:Matter
language:en
Short-container-title:Matter

Author:

Boyce Brad,Dingreville Remi,Desai Saaketh,Walker Elise,Shilt Troy,Bassett Kimberly L.,Wixom Ryan R.,Stebner Aaron P.,Arroyave Raymundo,Hattrick-Simpers Jason,Warren James A.

Publisher

Elsevier BV

Subject

General Materials Science

Reference8 articles.

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3. Progress toward autonomous experimental systems for alloy development;Boyce;MRS Bull.,2019

4. Many researchers say they’ll share data-but don’t;Watson;Nature,2022

5. Taking the human out of the loop: A review of bayesian optimization;Shahriari;Proc. IEEE,2016

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