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Diehl, P., Prudhomme, S., & Lévesque, M. (2019). A Review of Benchmark Experiments for the Validation of Peridynamics Models. Journal of Peridynamics and Nonlocal Modeling, 1(1), 14-35. Lien externe
Laberge, G., Shirzad, S., Diehl, P., Kaiser, H., Prudhomme, S., & Lemoine, A. (novembre 2019). Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning [Communication écrite]. IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC 2019), Denver, CO, USA. Lien externe
Tabiai, I., Tkachev, G., Diehl, P., Frey, S., Ertl, T., Therriault, D., & Lévesque, M. (2019). Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding. Engineering Fracture Mechanics, 216, 17 pages. Lien externe
