| A phase-field formulation for dynamic cohesive fracture R Geelen, Y Liu, T Hu, M Tupek, J Dolbow Computer Methods in Applied Mechanics and Engineering 348, 680-711, 2019 | 192 | 2019 |
| Operator inference for non-intrusive model reduction with quadratic manifolds R Geelen, S Wright, K Willcox Computer Methods in Applied Mechanics and Engineering 403, 115717, 2023 | 74* | 2023 |
| An optimization‐based phase‐field method for continuous‐discontinuous crack propagation R Geelen, Y Liu, J Dolbow, A Rodríguez-Ferran International Journal for Numerical Methods in Engineering 116 (1), 1-20, 2018 | 60 | 2018 |
| An extended/generalized phase–field finite element method for crack growth with global–local enrichment R Geelen, J Plews, M Tupek, J Dolbow International Journal for Numerical Methods in Engineering 121 (11), 2534-2557, 2020 | 43 | 2020 |
| Localized non-intrusive reduced-order modeling in the operator inference framework R Geelen, K Willcox Proceedings of the Royal Society A, 2022 | 22 | 2022 |
| Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds H Sharma, H Mu, P Buchfink, R Geelen, S Glas, B Kramer Computer Methods in Applied Mechanics and Engineering 417, 116402, 2023 | 14 | 2023 |
| Scale-bridging with the extended/generalized finite element method for linear elastodynamics R Geelen, J Plews, J Dolbow Computational Mechanics 68 (2), 295-310, 2021 | 6 | 2021 |
| Data-driven closures for the dynamic mode decomposition using quadratic manifolds A Kalur, P Mortimer, J Sirohi, R Geelen, KE Willcox AIAA AVIATION 2023 Forum, 4352, 2023 | 4 | 2023 |
| A data-driven approach to x-ray spectral fitting: Quasi-deconvolution C Rhea, J Hlavacek-Larrondo, R Kraft, A Bogdan, R Geelen Research Notes of the AAS 5 (5), 113, 2021 | 3 | 2021 |
| Learning latent representations in high-dimensional state spaces using polynomial manifold constructions R Geelen, L Balzano, K Willcox 2023 62nd IEEE Conference on Decision and Control (CDC), pp. 4960-4965, 2023 | 2 | 2023 |
| Towards Simulations of Pervasive Fracture Across Structural Scales R Geelen Duke University, 2020 | 2 | 2020 |
| Learning physics-based reduced-order models from data using nonlinear manifolds R Geelen, L Balzano, S Wright, K Willcox Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (3), 116402, 2024 | 1 | 2024 |
| Data-driven reduced-order models using quadratic manifolds A Kalur, R Geelen, K Willcox Bulletin of the American Physical Society 67, 2022 | | 2022 |
| A gradient–enhanced damage model based on smoothed displacements with vanishing length scale J Amani, R Geelen, B Vandoren, JE Dolbow, A Simone, ... CFRAC 2019, 12-14 June 2019, Braunschweig, Germany, 2019 | | 2019 |
John DolbowDuke University在 duke.edu 的电子邮件经过验证
