| Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ... Computers & Geosciences 178, 105402, 2023 | 19 | 2023 |
| Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators Z Yin, A Siahkoohi, M Louboutin, FJ Herrmann Second International Meeting for Applied Geoscience & Energy, 467-472, 2022 | 15 | 2022 |
| Towards large-scale learned solvers for parametric pdes with model-parallel fourier neural operators TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ... arXiv preprint arXiv:2204.01205, 2022 | 15 | 2022 |
| Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model Z Yin, M Louboutin, FJ Herrmann SEG International Exposition and Annual Meeting, D011S145R001, 2021 | 8 | 2021 |
| Learned multiphysics inversion with differentiable programming and machine learning M Louboutin*, Z Yin*, R Orozco, TJ Grady, A Siahkoohi, G Rizzuti, ... The Leading Edge 42 (7), 474-486, 2023 | 7 | 2023 |
| Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection Z Yin, HT Erdinc, AP Gahlot, M Louboutin, FJ Herrmann The Leading Edge 42 (1), 69-76, 2023 | 7 | 2023 |
| A simulation-free seismic survey design by maximizing the spectral gap Y Zhang, M Louboutin, A Siahkoohi, Z Yin, R Kumar, FJ Herrmann Second International Meeting for Applied Geoscience & Energy, 15-20, 2022 | 7 | 2022 |
| WISE: Full-waveform variational inference via subsurface extensions Z Yin, R Orozco, M Louboutin, FJ Herrmann Geophysics 89 (4), A23-A28, 2024 | 6 | 2024 |
| Solving multiphysics-based inverse problems with learned surrogates and constraints Z Yin, R Orozco, M Louboutin, FJ Herrmann Advanced Modeling and Simulation in Engineering Sciences 10 (1), 1-27, 2023 | 6 | 2023 |
| De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images HT Erdinc, AP Gahlot, Z Yin, M Louboutin, FJ Herrmann AAAI 2022 Fall Symposium - The Role of AI in Responding to Climate Challenges, 2022 | 6 | 2022 |
| Accelerating innovation with software abstractions for scalable computational geophysics M Louboutin, P Witte, A Siahkoohi, G Rizzuti, Z Yin, R Orozco, ... Second International Meeting for Applied Geoscience & Energy, 1482-1486, 2022 | 6 | 2022 |
| Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows Y Ren, PA Witte, A Siahkoohi, M Louboutin, Z Yin, FJ Herrmann AGU Fall Meeting 2021, 2021 | 6 | 2021 |
| Inference of CO2 flow patterns--a feasibility study AP Gahlot, HT Erdinc, R Orozco, Z Yin, FJ Herrmann NeurIPS 2023 Workshop - Tackling Climate Change with Machine Learning, 2023 | 5 | 2023 |
| slimgroup/JUDI4Cloud. jl: First public release M Louboutin, Z Yin, FJ Herrmann Zenodo, 2022 | 3 | 2022 |
| Extended source imaging - A unifying framework for seismic & medical imaging Z Yin, R Orozco, P Witte, M Louboutin, G Rizzuti, FJ Herrmann SEG Technical Program Expanded Abstracts 2020, 3502-3506, 2020 | 3 | 2020 |
| Optimized time-lapse acquisition design via spectral gap ratio minimization Y Zhang, Z Yin, O López, A Siahkoohi, M Louboutin, R Kumar, ... Geophysics 88 (4), A19-A23, 2023 | 2 | 2023 |
| Uncertainty-Aware Time-Lapse Monitoring of Geological Carbon Storage with Learned Surrogates.” Z Yin, R Orozco, M Louboutin, A Siahkoohi, FJ Herrmann | 2 | 2023 |
| Sintefmath/JutulDarcy. jl: V0. 2.3 (version v0. 2.3). Zenodo O Møyner, G Bruer, Z Yin | 2 | 2023 |
| Slimgroup/JutulDarcyRules. jl: V0. 2.5 (version v0. 2.5). Zenodo Z Yin, G Bruer, M Louboutin | 2 | 2023 |
| Sintefmath/Jutul. jl: V0. 2.6 (version v0. 2.6). Zenodo O Møyner, M Johnsrud, HM Nilsen, X Raynaud, KO Lye, Z Yin | 2 | 2023 |
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and Engineering在 gatech.edu 的电子邮件经过验证
