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)

Spline-based neural network interatomic potentials: blending classical and machine learning models. - Joshua A. Vita; Dallas R. Trinkle (CoRR, 2023)

Explainable Machine Learning for Oxygen Diffusion in Perovskites and Pyrochlores. - Grace M. Lu; Dallas R. Trinkle (CoRR, 2025)