Work

Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization

Year: 2024

Type: article

Source: Journal of Computing and Information Science in Engineering

DOI: 10.1115/1.4066856

Authors: Arpan Biswas, Mani Valleti, Rama Vasudevan, Maxim Ziatdinov, Sergei V. Kalinin

Institutions: University of Tennessee at Knoxville, University of Tennessee System, Center for Nanophase Materials Sciences, Pacific Northwest National Laboratory

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: U.S. Department of Energy

Award: CSSAS: THE CENTER FOR THE SCIENCE OF SYNTHESIS ACROSS SCALES

OpenAlex ID: W4403395926

FWCI: 0.284

Cites: 82

Cited by: 3

Related to: 10