| E. coli transport through soil columns: Implications for bioretention cell removal efficiency K Garbrecht, GA Fox, JA Guzman, D Alexander Transactions of the ASABE 52 (2), 481-486, 2009 | 32 | 2009 |
| Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression GF Bomarito, PE Leser, NCM Strauss, KM Garbrecht, JD Hochhalter Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 11 | 2022 |
| Interpretable machine learning for texture-dependent constitutive models with automatic code generation for topological optimization K Garbrecht, M Aguilo, A Sanderson, A Rollett, RM Kirby, J Hochhalter Integrating Materials and Manufacturing Innovation 10, 373-392, 2021 | 11 | 2021 |
| Automated learning of interpretable models with quantified uncertainty GF Bomarito, PE Leser, NCM Strauss, KM Garbrecht, JD Hochhalter Computer Methods in Applied Mechanics and Engineering 403, 115732, 2023 | 8 | 2023 |
| Generalizing the Gurson model using symbolic regression and transfer learning to relax inherent assumptions D Birky, K Garbrecht, J Emery, C Alleman, G Bomarito, J Hochhalter Modelling and Simulation in Materials Science and Engineering 31 (8), 085005, 2023 | 3 | 2023 |
| Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression K Garbrecht, D Birky, B Lester, J Emery, J Hochhalter Journal of the Mechanics and Physics of Solids 181, 105472, 2023 | 2 | 2023 |
| Passive chemical dosing and mixing apparatus and method JR Vogel, DE Storm, BJ Barfield, WR Kiner, KM Garbrecht US Patent 9,868,648, 2018 | 1 | 2018 |
| Interpretability and Generalizability of Constitutive Models using Symbolic Regression J Hochhalter, K Garbrecht, D Birky, D Randall, B Phung, N Strauss, ... 153rd TMS Annual Meeting & Exhibition, 2024 | | 2024 |
| Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression D Birky, K Garbrecht, J Emery, C Alleman, B Lester, G Bomarito, M Buche, ... 17th US National Congress on Computational Mechanics (USNCCM17), 2023 | | 2023 |
| Application of a Bayesian Framework for Plasticity Model Selection N Strauss, K Garbrecht, G Bomarito, P Leser, J Hochhalter USACM Thematic Conference (TTA on Uncertainty Quantification and …, 2022 | | 2022 |
| Physics-informed Machine Learning for Development of Interpretable, Improved Material Damage Models. D Birky, K Garbrecht, D Randall, J Emery, C Alleman, B Lester, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Bayesian Genetic Programming Based Symbolic Regression with Preferential Search K Garbrecht, N Strauss, G Bomarito, P Leser, J Hochhalter 16th US National Congress on Computational Mechanics (USNCCM), 2021 | | 2021 |
| Simultaneous Development and Robust Optimization of a Microstructure Dependent Material Model K Garbrecht, N Strauss, G Bomarito, P Leser, J Hochhalter TMS 21 (Virtual), 2021 | | 2021 |
| Design of Turbidity Controls for Oklahoma Highway Construction JR Vogel, DE Storm, BJ Barfield, S Harp, N Bhadbhade, A Mittelstet, ... Oklahoma Transportation Center, 2013 | | 2013 |
| Passive chemical dosing apparatus for construction site stormwater turbidity reduction KM Garbrecht Oklahoma State University, 2011 | | 2011 |
| A Passive Flocculant Injection System for Sediment Control on Construction Sites KM Garbrecht, J Vogel, D Storm, B Barfield International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 …, 2011 | | 2011 |
| Applying genetic programming symbolic regression to solid mechanics M Buche, C Hamel, A Su, H Narang, J Emery, C Alleman, B Lester, ... | | |
