| Similarity measures for identifying material parameters from hysteresis loops using inverse analysis CF Jekel, G Venter, MP Venter, N Stander, RT Haftka International Journal of Material Forming 12, 355-378, 2019 | 149 | 2019 |
| pwlf: A Python Library for Fitting 1D Continuous Piecewise Linear Functions CF Jekel, G Venter https://github.com/cjekel/piecewise_linear_fit_py, 2019 | 92* | 2019 |
| Computational design of microarchitected porous electrodes for redox flow batteries VA Beck, JJ Wong, CF Jekel, DA Tortorelli, SE Baker, EB Duoss, ... Journal of Power Sources 512, 230453, 2021 | 37 | 2021 |
| Modeling PVC-coated polyester as a hypoelastic non-linear orthotropic material CF Jekel, G Venter, MP Venter Composite Structures 161, 51-64, 2017 | 19 | 2017 |
| Obtaining a hyperelastic non-linear orthotropic material model via inverse bubble inflation analysis CF Jekel, G Venter, MP Venter Structural and Multidisciplinary Optimization 54, 927-935, 2016 | 16 | 2016 |
| Obtaining non-linear orthotropic material models for PVC-coated polyester via inverse bubble inflation CF Jekel Stellenbosch: Stellenbosch University, 2016 | 15 | 2016 |
| Design optimization for Richtmyer–Meshkov instability suppression at shock-compressed material interfaces DM Sterbentz, CF Jekel, DA White, S Aubry, HE Lorenzana, JL Belof Physics of Fluids 34 (8), 2022 | 13 | 2022 |
| Using conservation laws to infer deep learning model accuracy of richtmyer-meshkov instabilities CF Jekel, DM Sterbentz, S Aubry, Y Choi, DA White, JL Belof arXiv preprint arXiv:2208.11477, 2022 | 8 | 2022 |
| Classifying online dating profiles on tinder using facenet facial embeddings CF Jekel, RT Haftka arXiv preprint arXiv:1803.04347, 2018 | 8 | 2018 |
| Conservative Estimation of Tail Probabilities from Limited Sample Data C Jekel, V Romero Sandia National Lab. Technical Report SAND2020-2828, 2020 | 7 | 2020 |
| Risk allocation for design optimization with unidentified statistical distributions CF Jekel, RT Haftka AIAA Scitech 2020 Forum, 0415, 2020 | 5 | 2020 |
| Bootstrapping and Jackknife Resampling to Improve Sparse-Data UQ Methods for Tail Probability Estimates with Limited Samples. C Jekel, VJ Romero Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 5 | 2019 |
| pwlf: A Python library for fitting 1D continuous piecewise linear functions. GitHub C Jekel, G Venter | 5 | 2019 |
| Linear shaped-charge jet optimization using machine learning methods DM Sterbentz, CF Jekel, DA White, RN Rieben, JL Belof Journal of Applied Physics 134 (4), 2023 | 4 | 2023 |
| Bootstrapping and Jackknife Resampling to Improve Sparse-sample Uq Methods for Tail Probability Estimation CF Jekel, V Romero ASME V&V Verification and Validation Symposium, 2019 | 4 | 2019 |
| Neural network layers for prediction of positive definite elastic stiffness tensors CF Jekel, KE Swartz, DA White, DA Tortorelli, SE Watts arXiv preprint arXiv:2203.13938, 2022 | 3 | 2022 |
| Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib C Jekel Siam Review 62 (2), 515-517, 2020 | 3 | 2020 |
| Fortified test functions for global optimization and the power of multiple runs CF Jekel, RT Haftka arXiv preprint arXiv:1912.10575, 2019 | 2 | 2019 |
| Lack-of-fit Tests to indicate material model improvement or experimental data noise reduction CF Jekel, RT Haftka, G Venter, MP Venter 2018 AIAA Non-Deterministic Approaches Conference, 1664, 2018 | 2 | 2018 |
| Lattice optimization for porous electrode JJ Wong, CF Jekel, VA Beck Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2022 | 1 | 2022 |
Gerhard VenterProfessor of Mechanical and Mechatronic Engineering, Stellenbosch UniversityVerified email at sun.ac.za
