Mining Spatio-temporal Data on Industrialization from Historical Registries. - David Berenbaum; Dwyer Deighan; Thomas Marlow; Ashley S. Lee; Scott Frickel; Mark Howison (CoRR, 2016)

ChemTab: A Physics Guided Chemistry Modeling Framework. - Amol Salunkhe; Dwyer Deighan; Paul E. DesJardin; Varun Chandola (ICCS (1), 2022)

Simulation Workflows in Minutes, at Scale for Next-Generation HPC. - Allan Grosvenor; Anton Zemlyansky; Dwyer Deighan; Dustin Sysko (SMC, 2022)

Physics informed machine learning for chemistry tabulation. - Amol Salunkhe; Dwyer Deighan; Paul E. DesJardin; Varun Chandola (J. Comput. Sci., 2023)

Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures. - Allan Grosvenor; Anton Zemlyansky; Abdul Wahab; Kyrylo Bohachov; Aras Dogan; Dwyer Deighan (Frontiers Robotics AI, 2025)

Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels. - Md. Azharul Islam; Dwyer Deighan; Shayan Bhattacharjee; Daniel Tantalo; Pratyush Kumar Singh; David Salac; Danial Faghihi (CoRR, 2025)

Mixture of neural operator experts for learning boundary conditions and model selection. - Dwyer Deighan; Jonas A. Actor; Ravi G. Patel (CoRR, 2025)