Sakib Matin

According to our database, Sakib Matin authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Ensemble Knowledge Distillation for Machine Learning Interatomic Potentials.

Sakib Matin, Emily Shinkle, Yulia Pimonova, Galen T. Craven, Aleksandra Pachalieva, Ying Wai Li, Kipton Barros, Nicholas Lubbers

CoRR, March, 2025

Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.

Luan G. F. dos Santos, Benjamin T. Nebgen, Alice E. A. Allen, Brenden W. Hamilton, Sakib Matin, Justin S. Smith, Richard A. Messerly

J. Chem. Inf. Model., 2025

2024

Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks.

Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, Galen T. Craven, Nicholas Lubbers

CoRR, 2024