| A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality MA Bessa, R Bostanabad, Z Liu, A Hu, DW Apley, C Brinson, W Chen, ... Computer Methods in Applied Mechanics and Engineering 320, 633-667, 2017 | 540 | 2017 |
| Deep learning predicts path-dependent plasticity M Mozaffar, R Bostanabad, W Chen, K Ehmann, J Cao, MA Bessa Proceedings of the National Academy of Sciences 116 (52), 26414-26420, 2019 | 488 | 2019 |
| Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials Z Liu, MA Bessa, WK Liu Computer Methods in Applied Mechanics and Engineering 306, 319-341, 2016 | 438 | 2016 |
| Bayesian machine learning in metamaterial design: Fragile becomes supercompressible MA Bessa, P Glowacki, M Houlder Advanced Materials 31 (48), 1904845, 2019 | 233 | 2019 |
| A meshfree unification: reproducing kernel peridynamics MA Bessa, JT Foster, T Belytschko, WK Liu Computational Mechanics 53, 1251-1264, 2014 | 187 | 2014 |
| Modeling the inelastic deformation and fracture of polymer composites–Part II: Smeared crack model PP Camanho, MA Bessa, G Catalanotti, M Vogler, R Rolfes Mechanics of Materials 59, 36-49, 2013 | 166 | 2013 |
| Wave dispersion and basic concepts of peridynamics compared to classical nonlocal damage models ZP Bažant, W Luo, VT Chau, MA Bessa Journal of Applied Mechanics 83 (11), 111004, 2016 | 123 | 2016 |
| High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites X Bai, MA Bessa, AR Melro, PP Camanho, L Guo, WK Liu Composite Structures 134, 132-141, 2015 | 120 | 2015 |
| Predicting the macroscopic fracture energy of epoxy resins from atomistic molecular simulations Z Meng, MA Bessa, W Xia, W Kam Liu, S Keten Macromolecules 49 (24), 9474-9483, 2016 | 111 | 2016 |
| A multiscale model for the quasi-static thermo-plastic behavior of highly cross-linked glassy polymers N Vu-Bac, MA Bessa, T Rabczuk, WK Liu Macromolecules 48 (18), 6713-6723, 2015 | 95 | 2015 |
| Mechanics of hybrid polymer composites: analytical and computational study RP Tavares, AR Melro, MA Bessa, A Turon, WK Liu, PP Camanho Computational Mechanics 57, 405-421, 2016 | 76 | 2016 |
| A methodology to generate design allowables of composite laminates using machine learning C Furtado, LF Pereira, RP Tavares, M Salgado, F Otero, G Catalanotti, ... International Journal of Solids and Structures 233, 111095, 2021 | 75 | 2021 |
| Design of ultra-thin shell structures in the stochastic post-buckling range using Bayesian machine learning and optimization MA Bessa, S Pellegrino International Journal of Solids and Structures 139, 174-188, 2018 | 75 | 2018 |
| Spiderweb nanomechanical resonators via bayesian optimization: inspired by nature and guided by machine learning D Shin, A Cupertino, MHJ de Jong, PG Steeneken, MA Bessa, RA Norte Advanced Materials 34 (3), 2106248, 2022 | 64 | 2022 |
| Characterization of ultra-thin composite triangular rollable and collapsible booms C Leclerc, LL Wilson, MA Bessa, S Pellegrino 4th AIAA spacecraft structures conference, 0172, 2017 | 60 | 2017 |
| A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling W Zhang, R Bostanabad, B Liang, X Su, D Zeng, MA Bessa, Y Wang, ... Composites Science and Technology 170, 15-24, 2019 | 54 | 2019 |
| Prediction of size effects in open-hole laminates using only the Young’s modulus, the strength, and the R-curve of the 0 ply C Furtado, A Arteiro, MA Bessa, BL Wardle, PP Camanho Composites Part A: Applied Science and Manufacturing 101, 306-317, 2017 | 41 | 2017 |
| The effect of through-thickness compressive stress on mode II interlaminar crack propagation: A computational micromechanics approach LF Varandas, A Arteiro, MA Bessa, AR Melro, G Catalanotti Composite Structures 182, 326-334, 2017 | 37 | 2017 |
| Monolithic binary stiffness building blocks for mechanical digital machines PR Kuppens, MA Bessa, JL Herder, JB Hopkins Extreme Mechanics Letters 42, 101120, 2021 | 25 | 2021 |
| Reproducing kernel particle method for solving partial differential equations JS Chen, WK Liu, MC Hillman, SW Chi, Y Lian, MA Bessa Encyclopedia of computational mechanics 2, 691-734, 2017 | 25 | 2017 |
Wing Kam LiuWalter P. Murphy Professor of Mechanical EngineeringE-mail confirmado em northwestern.edu
