Predicting the mechanical response of oligocrystals with deep learning AL Frankel, RE Jones, C Alleman, JA Templeton Computational Materials Science 169, 109099, 2019 | 104 | 2019 |
A model for finite-deformation nonlinear thermomechanical response of single crystal copper under shock conditions DJ Luscher, CA Bronkhorst, CN Alleman, FL Addessio Journal of the Mechanics and Physics of Solids 61 (9), 1877-1894, 2013 | 67 | 2013 |
The Schwarz alternating method in solid mechanics A Mota, I Tezaur, C Alleman Computer Methods in Applied Mechanics and Engineering 319, 19-51, 2017 | 52* | 2017 |
Distribution-enhanced homogenization framework and model for heterogeneous elasto-plastic problems C Alleman, DJ Luscher, C Bronkhorst, S Ghosh Journal of the Mechanics and Physics of Solids 85, 176-202, 2015 | 22 | 2015 |
Evaluating the effects of loading parameters on single-crystal slip in tantalum using molecular mechanics C Alleman, S Ghosh, DJ Luscher, CA Bronkhorst Philosophical Magazine 94 (1), 92-116, 2014 | 21 | 2014 |
Molecular dynamics simulation based evaluation of glass transition temperatures of polystyrene in the presence of carbon dioxide A Srivastava, C Alleman, S Ghosh, LJ Lee Modelling and Simulation in Materials Science and Engineering 18 (6), 065003, 2010 | 21 | 2010 |
Modeling strength and failure variability due to porosity in additively manufactured metals M Khalil, GH Teichert, C Alleman, NM Heckman, RE Jones, K Garikipati, ... Computer Methods in Applied Mechanics and Engineering 373, 113471, 2021 | 18 | 2021 |
Mesh-based graph convolutional neural networks for modeling materials with microstructure AL Frankel, C Safta, C Alleman, RE Jones Journal of Machine Learning for Modeling and Computing 3 (1), 2022 | 15 | 2022 |
Concurrent multiscale modeling of microstructural effects on localization behavior in finite deformation solid mechanics CN Alleman, JW Foulk, A Mota, H Lim, DJ Littlewood Computational Mechanics 61, 207-218, 2018 | 12 | 2018 |
Sandia Fracture Challenge 3: detailing the Sandia Team Q failure prediction strategy KN Karlson, C Alleman, JW Foulk III, KL Manktelow, JT Ostien, ... International Journal of Fracture 218, 149-170, 2019 | 10 | 2019 |
Experimental investigation of dynamic strain aging in 304l stainless steel BR Antoun, C Alleman, K De La Trinidad Challenges in Mechanics of Time-Dependent Materials, Volume 2: Proceedings …, 2019 | 6 | 2019 |
Molecular dynamics simulations of the effects of carbon dioxide on the interfacial bonding of polystyrene thin films C Alleman, A Srivastava, S Ghosh Journal of Polymer Science Part B: Polymer Physics 49 (16), 1183-1194, 2011 | 5 | 2011 |
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 | 4 | 2023 |
Energy and stochasticity: the yin and yang of dislocation patterning N Deka, C Alleman, DL Medlin, RB Sills Materials Research Letters 11 (4), 289-295, 2023 | 3 | 2023 |
Combined Hydrogen Embrittlement and Strain Rate Sensitivity of Annealed and Forged 304L Steel RW Wheeler, J Ronevich, C San Marchi, JW Foulk, M Diab, C Alleman Pressure Vessels and Piping Conference 87486, V005T06A077, 2023 | 1 | 2023 |
Sensitivity of void mediated failure to geometric design features of porous metals GH Teichert, M Khalil, C Alleman, K Garikipati, RE Jones International Journal of Solids and Structures 236, 111309, 2022 | 1 | 2022 |
Mesh-based graph convolutional neural network models of processes with complex initial states. A Frankel, C Safta, C Alleman, R Jones CoRR, 2021 | 1 | 2021 |
304L SS Laser Weld Failure Model Development and Validation. K Karlson, C Alleman, C Battaile, GL Bergel, B Boyce, J Emery, J Foulk, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019 | 1 | 2019 |
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 |