| KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics BC Koenig, S Kim, S Deng Computer Methods in Applied Mechanics and Engineering 432, 117397, 2024 | 34 | 2024 |
| Bayesian chemical reaction neural network for autonomous kinetic uncertainty quantification Q Li, H Chen, BC Koenig, S Deng Physical Chemistry Chemical Physics 25 (5), 3707-3717, 2023 | 19 | 2023 |
| Optimal harvesting with autonomous tow vessels for offshore macroalgae farming MS Bhabra, MM Doshi, BC Koenig, PJ Haley, C Mirabito, PFJ Lermusiaux, ... Global Oceans 2020: Singapore–US Gulf Coast, 1-10, 2020 | 11 | 2020 |
| Accommodating physical reaction schemes in DSC cathode thermal stability analysis using chemical reaction neural networks BC Koenig, P Zhao, S Deng Journal of Power Sources 581, 233443, 2023 | 9 | 2023 |
| Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets BC Koenig, W Ji, S Deng Proceedings of the Combustion Institute 39 (4), 5229-5238, 2023 | 7 | 2023 |
| Uncertain lithium-ion cathode kinetic decomposition modeling via Bayesian chemical reaction neural networks BC Koenig, H Chen, Q Li, P Zhao, S Deng Proceedings of the Combustion Institute 40 (1-4), 105243, 2024 | 2 | 2024 |
| Multi-target active subspaces generated using a neural network for computationally efficient turbulent combustion kinetic uncertainty quantification in the flamelet regime BC Koenig, S Deng Combustion and Flame 258, 113015, 2023 | 2 | 2023 |
| Uncertainty quantification in lithium-ion battery thermal runaway modelling BC Koenig, H Chen, Q Li, P Zhao, S Deng Spring Technical Meeting of the Eastern States Section of the Combustion …, 2024 | | 2024 |
| Enabling Efficient Uncertainty Quantification of Turbulent Combustion Simulations via Kinetic Dimension Reduction BC Koenig Massachusetts Institute of Technology, 2023 | | 2023 |