A System for High-Throughput Materials Exploration Driven by Machine Learning

Functional materials have vast and high-dimensional compositions spaces which make discovering optimized compositions intractable with conventional synthesis tools. Conventional experimental methods of exploring material composition spaces are slow and resource intensive due to being manual processe...

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Bibliographic Details
Main Author: Siemenn, Alexander E.
Other Authors: Buonassisi, Tonio
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/139429
https://orcid.org/0000-0001-8841-7887