| 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 |
| 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 |
| Inference of CO2 flow patterns--a feasibility study AP Gahlot, HT Erdinc, R Orozco, Z Yin, FJ Herrmann NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023 | 5 | 2023 |
| A Digital Twin for Geological Carbon Storage with Controlled Injectivity AP Gahlot, H Li, Z Yin, R Orozco, FJ Herrmann arXiv preprint arXiv:2403.19819, 2024 | 1 | 2024 |
| BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows a case study in optimal monitor well placement for CO sequestration R Orozco, A Gahlot, FJ Herrmann arXiv preprint arXiv:2404.00075, 2024 | | 2024 |
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
