Open AccessMachine learning–accelerated design and synthesis of polyelemental heterostructures
Author(s) -
Carolin B. Wahl,
Muratahan Aykol,
Jordan H. Swisher,
Joseph H. Montoya,
Santosh K. Suram,
Chad A. Mirkin
Publication year - 2021
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abj5505
Subject(s) - chemical space , computer science , bayesian optimization , nanomaterials , intuition , nanotechnology , heterojunction , bridge (graph theory) , nanoparticle , artificial intelligence , machine learning , materials science , biochemical engineering , drug discovery , bioinformatics , engineering , biology , philosophy , optoelectronics , epistemology , anatomy
Machine learning accelerates materials discovery by suggesting targets, yielding exceptionally complex biphasic nanoparticles.
Accelerating Research
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