Modulus tunability in hierarchical architectures: a machine learning-enabled approach
Year: 2025
Type: conference-paper
DOI: 10.1117/12.3051644
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4410088969
