Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network. - Weiqi Ji; Sili Deng (CoRR, 2020)

Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics. - Weiqi Ji; Weilun Qiu; Zhiyu Shi; Shaowu Pan; Sili Deng (AAAI Spring Symposium: MLPS, 2021)

Stiff Neural Ordinary Differential Equations. - Suyong Kim; Weiqi Ji; Sili Deng; Christopher Rackauckas (CoRR, 2021)

Inference of cell dynamics on perturbation data using adjoint sensitivity. - Weiqi Ji; Bo Yuan; Ciyue Shen; Aviv Regev; Chris Sander; Sili Deng (CoRR, 2021)

Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks. - Weiqi Ji; Franz Richter; Michael J. Gollner; Sili Deng (CoRR, 2021)

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics. - Benjamin C. Koenig; Suyong Kim; Sili Deng (CoRR, 2024)

Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview. - Andre Nicolle; Sili Deng; Matthias Ihme; Nursulu Kuzhagaliyeva; Emad Al Ibrahim; Aamir Farooq (J. Chem. Inf. Model., 2024)

LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior. - Benjamin C. Koenig; Suyong Kim; Sili Deng (Neural Networks, 2025)

ChemKANs for Combustion Chemistry Modeling and Acceleration. - Benjamin C. Koenig; Suyong Kim; Sili Deng (CoRR, 2025)