| PeriPy-A high performance OpenCL peridynamics package B Boys, TJ Dodwell, M Hobbs, M Girolami Computer Methods in Applied Mechanics and Engineering 386, 114085, 2021 | 37 | 2021 |
| Predicting shear failure in reinforced concrete members using a three-dimensional peridynamic framework M Hobbs, G Hattori, J Orr Computers & Structures 258, 106682, 2022 | 32 | 2022 |
| An examination of the size effect in quasi-brittle materials using a bond-based peridynamic model M Hobbs, T Dodwell, G Hattori, J Orr Engineering Structures 262, 114207, 2022 | 28 | 2022 |
| A review on the developments of peridynamics for reinforced concrete structures G Hattori, M Hobbs, J Orr Archives of Computational Methods in Engineering, 1-32, 2021 | 27 | 2021 |
| Three-dimensional peridynamic modelling of quasi-brittle structural elements M Hobbs University of Cambridge, 2021 | 10 | 2021 |
| A probabilistic peridynamic framework with an application to the study of the statistical size effect M Hobbs, H Rappel, T Dodwell Applied Mathematical Modelling 128, 137-153, 2024 | 1 | 2024 |
| Gaussian process regression+ deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids S DESHPANDE, H RAPPEL, M Hobbs, S BORDAS, J Lengiewicz | 1 | 2024 |
| Gaussian process regression+ deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids S Deshpande, H Rappel, M Hobbs, SPA Bordas, J Lengiewicz Computer Methods in Applied Mechanics and Engineering 437, 117790, 2025 | | 2025 |
| Raw numerical output" Predicting shear failure in reinforced concrete members using a three-dimensional peridynamic framework" M Hobbs, G Hattori, J Orr | | 2021 |
