Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. - Li Li 060; Stephan Hoyer; Ryan Pederson; Ruoxi Sun 002; Ekin D. Cubuk; Patrick Riley 001; Kieron Burke (CoRR, 2020)

Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems. - Bhupalee Kalita; Ryan Pederson; Li Li 060; Kieron Burke (CoRR, 2021)

Attractor Stability in Finite Asynchronous Biological System Models. - Henning S. Mortveit; Ryan Pederson (CoRR, 2022)

COATI: Multimodal Contrastive Pretraining for Representing and Traversing Chemical Space. - Benjamin Kaufman; Edward C. Williams; Carl Underkoffler; Ryan Pederson; Narbe Mardirossian; Ian Watson; John Parkhill (J. Chem. Inf. Model., 2024)