Publications

Quek, A., N. Ouyang, H. M. Lin, O. Delaire, and J. Guilleminot. “Enhancing robustness in machine-learning-accelerated molecular dynamics: A multi-model nonparametric probabilistic approach.” Mechanics of Materials 202 (March 1, 2025). https://doi.org/10.1016/j.mechmat.2024.105237.

Yong, J. Y., R. Geelen, and J. Guilleminot. “Learning latent space dynamics with model-form uncertainties: A stochastic reduced-order modeling approach.” Computer Methods in Applied Mechanics and Engineering 435 (February 15, 2025). https://doi.org/10.1016/j.cma.2024.117638.

Zhang, H., R. K. Mahabadi, C. Rudin, J. Guilleminot, and L. C. Brinson. “Uncertainty quantification of acoustic metamaterial bandgaps with stochastic material properties and geometric defects.” Computers and Structures 305 (December 1, 2024). https://doi.org/10.1016/j.compstruc.2024.107511.

Kounouho, S., R. Dingreville, and J. Guilleminot. “Stochastic symplectic reduced-order modeling for model-form uncertainty quantification in molecular dynamics simulations in various statistical ensembles.” Computer Methods in Applied Mechanics and Engineering 431 (November 1, 2024). https://doi.org/10.1016/j.cma.2024.117323.

Quek, A., J. Yi Yong, and J. Guilleminot. “Approximating Fracture Paths in Random Heterogeneous Materials: A Probabilistic Learning Perspective.” Journal of Engineering Mechanics 150, no. 8 (August 1, 2024). https://doi.org/10.1061/JENMDT.EMENG-7617.

Chu, S., A. Iliopoulos, J. Michopoulos, A. Birnbaum, J. Steuben, C. Stewart, P. Callahan, D. Rowenhorst, and J. Guilleminot. “Microstructurally-informed stochastic inhomogeneity of material properties and material symmetries in 3D-printed 316 L stainless steel.” Computational Mechanics 74, no. 1 (July 1, 2024): 85–111. https://doi.org/10.1007/s00466-023-02424-6.

Zhang, H., and J. Guilleminot. “Operator learning for homogenizing hyperelastic materials, without PDE data.” Mechanics Research Communications 138 (June 1, 2024). https://doi.org/10.1016/j.mechrescom.2024.104281.

Nguyen, C. T., V. Langlois, J. Guilleminot, A. Duval, and C. Perrot. “Effect of pore size polydispersity on the acoustic properties of high-porosity solid foams.” Physics of Fluids 36, no. 4 (April 1, 2024). https://doi.org/10.1063/5.0191517.

Chen, P., J. Guilleminot, and C. Soize. “Concurrent multiscale simulations of nonlinear random materials using probabilistic learning.” Computer Methods in Applied Mechanics and Engineering 422 (March 15, 2024). https://doi.org/10.1016/j.cma.2024.116837.

Chen, P., T. Hu, and J. Guilleminot. “A nonlinear-manifold reduced-order model and operator learning for partial differential equations with sharp solution gradients.” Computer Methods in Applied Mechanics and Engineering 419 (February 1, 2024). https://doi.org/10.1016/j.cma.2023.116684.

Zhang, H., J. E. Dolbow, and J. Guilleminot. “Representing model uncertainties in brittle fracture simulations.” Computer Methods in Applied Mechanics and Engineering 418 (January 5, 2024). https://doi.org/10.1016/j.cma.2023.116575.

Chu, S., A. Iliopoulos, J. Michopoulos, J. Steuben, J. Thomas, and J. Guilleminot. “Stochastic modeling of spatially-dependent elastoplastic parameters in 316L stainless steel produced by direct energy deposition.” Mechanics of Materials 187 (December 1, 2023). https://doi.org/10.1016/j.mechmat.2023.104821.

Zhang, H., and J. Guilleminot. “A Riemannian stochastic representation for quantifying model uncertainties in molecular dynamics simulations.” Computer Methods in Applied Mechanics and Engineering 403 (January 1, 2023). https://doi.org/10.1016/j.cma.2022.115702.

Chen, P., and J. Guilleminot. “Polyconvex neural networks for hyperelastic constitutive models: A rectification approach.” Mechanics Research Communications 125 (October 1, 2022). https://doi.org/10.1016/j.mechrescom.2022.103993.

Nguyen, C. T., V. Langlois, J. Guilleminot, F. Detrez, A. Duval, M. Bornert, P. Aimedieu, and C. Perrot. “Polydisperse solid foams: Multiscale modeling and simulations of elasto-acoustic properties including thin membrane effects.” International Journal of Solids and Structures 249 (August 1, 2022). https://doi.org/10.1016/j.ijsolstr.2022.111684.

Chen, P., and J. Guilleminot. “Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation.” Computer Methods in Applied Mechanics and Engineering 394 (May 1, 2022). https://doi.org/10.1016/j.cma.2022.114897.

Wang, H., J. Guilleminot, B. W. Schafer, and M. Tootkaboni. “Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models.” Computer Methods in Applied Mechanics and Engineering 393 (April 1, 2022). https://doi.org/10.1016/j.cma.2022.114780.

Trinh, Van Hai, Johann Guilleminot, Camille Perrot, and Viet Dung Vu. “Learning acoustic responses from experiments: A multiscale-informed transfer learning approach.” The Journal of the Acoustical Society of America 151, no. 4 (April 2022): 2587. https://doi.org/10.1121/10.0010187.

Zhang, Hao, Luis J. Gomez, and Johann Guilleminot. “Uncertainty quantification of TMS simulations considering MRI segmentation errors.” Journal of Neural Engineering 19, no. 2 (March 2022). https://doi.org/10.1088/1741-2552/ac5586.

Langlois, V., C. T. Nguyen, F. Detrez, J. Guilleminot, and C. Perrot. “Permeability of polydisperse solid foams.” Physical Review. E 105, no. 1–2 (January 2022): 015101. https://doi.org/10.1103/physreve.105.015101.

Chu, S., J. Guilleminot, C. Kelly, B. Abar, and K. Gall. “Stochastic Modeling and identification of material parameters on structures produced by additive manufacturing.” Computer Methods in Applied Mechanics and Engineering 387 (December 15, 2021). https://doi.org/10.1016/j.cma.2021.114166.

Hun, D. A., J. Yvonnet, J. Guilleminot, A. Dadda, A. M. Tang, and M. Bornert. “Desiccation cracking of heterogeneous clayey soil: Experiments, modeling and simulations.” Engineering Fracture Mechanics 258 (December 1, 2021). https://doi.org/10.1016/j.engfracmech.2021.108065.

Trinh, V. H., J. Guilleminot, and C. Perrot. “On the sensitivity of the design of composite sound absorbing structures.” Materials and Design 210 (November 15, 2021). https://doi.org/10.1016/j.matdes.2021.110058.

Zhang, H., J. Guilleminot, and L. J. Gomez. “Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries.” Computer Methods in Applied Mechanics and Engineering 385 (November 1, 2021). https://doi.org/10.1016/j.cma.2021.114014.

Mihai, L Angela, Haoran Wang, Johann Guilleminot, and Alain Goriely. “Nematic liquid crystalline elastomers are aeolotropic materials.” Proceedings. Mathematical, Physical, and Engineering Sciences 477, no. 2253 (September 2021): 20210259. https://doi.org/10.1098/rspa.2021.0259.