Emily Shinkle

According to our database, Emily Shinkle authored at least 4 papers between 2024 and 2025.

Collaborative distances:

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

2025

Optimal Invariant Bases for Atomistic Machine Learning.

Alice E. A. Allen, Emily Shinkle, Roxana Bujack, Nicholas Lubbers

CoRR, March, 2025

Flexible Moment-Invariant Bases from Irreducible Tensors.

Roxana Bujack, Emily Shinkle, Alice Allen, Tomás Suk, Nicholas Lubbers

CoRR, March, 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

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