Machine learning-driven hardness modeling and interpretable analysis of constitutive characteristics for thin copper films
Year: 2026
Type: article
Source: Engineering Computations
Institutions: Liaoning Technical University, Northeastern University
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: closed
Funder: Northeastern University
OpenAlex ID: W7160645725