Efficient PDE-constrained optimization under high-dimensional uncertainty using derivative-informed neural operators D Luo, T O'Leary-Roseberry, P Chen, O Ghattas arXiv preprint arXiv:2305.20053, 2023 | 24 | 2023 |
Investigating steady unconfined groundwater flow using physics informed neural networks MA Shadab, D Luo, E Hiatt, Y Shen, MA Hesse Advances in Water Resources 177, 104445, 2023 | 11 | 2023 |
Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm D Luo, L Cao, P Chen, O Ghattas, JT Oden Journal of Computational Physics 485, 112101, 2023 | 5 | 2023 |
SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python D Luo, P Chen, T O'Leary-Roseberry, U Villa, O Ghattas Journal of Open Source Software 9 (99), 6101, 2024 | 2 | 2024 |
Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC J Kirchhoff, D Luo, T O'Leary-Roseberry, O Ghattas arXiv preprint arXiv:2408.10217, 2024 | 1 | 2024 |
Gaussian mixture Taylor approximations of risk measures constrained by PDEs with Gaussian random field inputs D Luo, J Chen, P Chen, O Ghattas arXiv preprint arXiv:2408.06615, 2024 | | 2024 |