Scaling molecular dynamics beyond 100, 000 processor cores for large-scale biophysical simulations. - Jaewoon Jung; Wataru Nishima; Marcus Daniels; Gavin Bascom; Chigusa Kobayashi; Adetokunbo Adedoyin; Michael E. Wall; Anna Lappala; Dominic Phillips; William Fischer 001; Chang-Shung Tung; Tamar Schlick; et al. (J. Comput. Chem., 2019)

DeepGuard: A DeepBillboard Attack Detection Technique against Connected and Autonomous Vehicles. - Dominic Phillips; Marwa A. Elsayed; Mohammad Zulkernine (QRS Companion, 2021)

Generating Immune-aware SARS-CoV-2 Spike Proteins for Universal Vaccine Design. - Dominic Phillips; Hans-Christof Gasser; Sebesyén Kamp; Aleksander Palkowski; Lukasz Rabalski; Diego A. Oyarzún; Ajitha Rajan; Javier Antonio Alfaro (Healthcare AI and COVID-19 Workshop, 2022)

Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. - Jonathan Feldstein; Dominic Phillips; Efthymia Tsamoura (AAAI, 2023)

Autonomous and Security-Aware Dynamic Vehicular Platoon Formation. - Dominic Phillips; Talal Halabi; Mohammad Zulkernine (DSA, 2023)

Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. - Dominic Phillips; Charles Matthews; Benedict J. Leimkuhler (CoRR, 2023)

MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets. - Dominic Phillips; Flaviu Cipcigan (CoRR, 2024)

Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules. - Jonathan Feldstein; Dominic Phillips; Efthymia Tsamoura (CoRR, 2024)

Efficient Langevin sampling with position-dependent diffusion. - Eugen Bronasco; Benedict J. Leimkuhler; Dominic Phillips; Gilles Vilmart (CoRR, 2025)