DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks. - Maxwell X. Cai; Jeroen Bédorf; Vikram A. Saletore; Valeriu Codreanu; Damian Podareanu; Adel Chaibi; Penny X. Qian (DLS@SC, 2020)

Deep-learning enhancement of large scale numerical simulations. - Caspar van Leeuwen; Damian Podareanu; Valeriu Codreanu; Maxwell X. Cai; Axel Berg; Simon Portegies Zwart; Robin Stoffer; Menno Veerman; Chiel van Heerwaarden; Sydney Otten; Sascha Caron; Cunliang Geng; et al. (CoRR, 2020)

Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation. - Alex Cole; Benjamin Kurt Miller; Samuel J. Witte; Maxwell X. Cai; Meiert W. Grootes; Francesco Nattino; Christoph Weniger (CoRR, 2021)

Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem. - Maxwell X. Cai; Simon Portegies Zwart; Damian Podareanu (CoRR, 2021)

A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks. - Veronica Saz Ulibarrena; Philipp Horn; Simon Portegies Zwart; Elena Sellentin; Barry Koren; Maxwell X. Cai (CoRR, 2023)

ρ-Diffusion: A diffusion-based density estimation framework for computational physics. - Maxwell X. Cai; Kin Long Kelvin Lee (CoRR, 2023)

A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks. - Veronica Saz Ulibarrena; Philipp Horn; Simon Portegies Zwart; Elena Sellentin; Barry Koren; Maxwell X. Cai (J. Comput. Phys., 2024)