The use of an interpretable machine-learning approach to disclose the molecular assemblage on melting transition

Journal of Molecular Modeling 2026

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Authors: Gonçalo V. S. M. Carrera, Carlos E. S. Bernardes, Ana V. M. Nunes, Teresa Casimiro, João Sotomayor, Ana Aguiar‐Ricardo
DOI: 10.1007/s00894-025-06619-x
Cited by: 1
References: 76

Fields of Study & Subjects

Machine Learning in Materials Science Crystallography and molecular interactions Protein Structure and Dynamics

Publication details

Journal / source
Journal of Molecular Modeling
Publisher
Springer Science and Business Media LLC
Volume
32
Issue
2
Pages
42–42
Publication date
14 January 2026
Language
EN