Physics-constrained machine learning for powder x-ray diffraction
Year: 2026
Type: article
Source: Applied Physics Letters
DOI: 10.1063/5.0357179
Author: Nathan J. Szymanski
Institution: University of California, Los Angeles
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7225657300