| A convected-particle tetrahedron interpolation technique in the material-point method for the mesoscale modeling of ceramics RB Leavy, JE Guilkey, BR Phung, AD Spear, RM Brannon Computational Mechanics 64, 563-583, 2019 | 18 | 2019 |
| Investigating the effect of grain structure on compressive response of open-cell metal foam using high-fidelity crystal-plasticity modeling D Zhao, KE Matheson, BR Phung, S Petruzza, MW Czabaj, AD Spear Materials Science and Engineering: A 812, 140847, 2021 | 12 | 2021 |
| Implementation and experimental validation of nonlocal damage in a large-strain elasto-viscoplastic FFT-based framework for predicting ductile fracture in 3D polycrystalline … CK Cocke, H Mirmohammad, M Zecevic, BR Phung, RA Lebensohn, ... International Journal of Plasticity 162, 103508, 2023 | 9 | 2023 |
| The third Sandia Fracture Challenge: from theory to practice in a classroom setting AD Spear, MW Czabaj, P Newell, K DeMille, BR Phung, D Zhao, ... International Journal of Fracture 218, 171-194, 2019 | 8 | 2019 |
| A voxel-based remeshing framework for the simulation of arbitrary three-dimensional crack growth in heterogeneous materials BR Phung, AD Spear Engineering Fracture Mechanics 209, 404-422, 2019 | 8 | 2019 |
| A surface-mesh gradation tool for generating gradated tetrahedral meshes of microstructures with defects BR Phung, J He, AD Spear Computational Materials Science 197, 110622, 2021 | 4 | 2021 |
| Predicting microstructurally sensitive fatigue‐crack path in WE43 magnesium using high‐fidelity numerical modeling and three‐dimensional experimental characterization BR Phung, DA Greeley, M Yaghoobi, JF Adams, JE Allison, AD Spear Fatigue & Fracture of Engineering Materials & Structures 47 (3), 862-883, 2024 | 1 | 2024 |
| 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 |
| Simulation of Three-Dimensional Microstructurally Sensitive Crack Growth Using a Voxel-Based Remeshing Framework BR Phung The University of Utah, 2022 | | 2022 |
| Predicting the yield behavior of polycrystalline aggregates usinga generalized Schmid factor approach. C Alleman, B Phung Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| An analytical model for material strength accounting for microstructural variability. B Phung, C Alleman Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Towards the Verification of a Generalized Schmid-and Taylor-factor Homogenization Scheme and Mesoscale Mesh Generation from Noisy Image Data. B Phung, C Alleman Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019 | | 2019 |
| Predicting Fall Parameters from Infant Skull Fractures Using Machine Learning J Hirst, B Phung, B Johnsson, J He, B Coats, A Spear Available at SSRN 4725023, 0 | | |
