Work

Physical computing for materials acceleration platforms

Year: 2022

Type: article

Source: Matter

DOI: 10.1016/j.matt.2022.09.022

Authors: Erik Peterson, Alexander Lavin

Institution: Pasteur Labs (United States)

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4308149685

FWCI: 0.335

Cites: 46

Cited by: 7

Related to: 10