Dallas R. Trinkle

According to our database, Dallas R. Trinkle authored at least 3 papers between 2022 and 2025.

Collaborative distances:

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

2025

Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores.

Grace M. Lu, Dallas R. Trinkle

CoRR, May, 2025

2023

Spline-based neural network interatomic potentials: blending classical and machine learning models.

Joshua A. Vita, Dallas R. Trinkle

CoRR, 2023

2022

Machine Learning Methods for Multiscale Physics and Urban Engineering Problems.

Somya Sharma, Marten Thompson, Debra F. Laefer, Michael Lawler, Kevin L. McIlhany, Olivier Pauluis, Dallas R. Trinkle, Snigdhansu Chatterjee

Entropy, 2022