| PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media JE Santos, D Xu, H Jo, CJ Landry, M Prodanović, MJ Pyrcz Advances in Water Resources 138, 103539, 2020 | 213 | 2020 |
| Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media JE Santos, Y Yin, H Jo, W Pan, Q Kang, HS Viswanathan, M Prodanović, ... Transport in Porous Media, 1-32, 2021 | 92 | 2021 |
| MudrockNet: Semantic segmentation of mudrock SEM images through deep learning A Bihani, H Daigle, JE Santos, C Landry, M Prodanović, K Milliken Computers & Geosciences 158, 104952, 2022 | 45 | 2022 |
| Modeling nanoconfinement effects using active learning JE Santos, M Mehana, H Wu, M Prodanovic, Q Kang, N Lubbers, ... The Journal of Physical Chemistry C 124 (40), 22200-22211, 2020 | 44 | 2020 |
| Machine learning assisted history matching for a deepwater lobe system H Jo, W Pan, JE Santos, H Jung, MJ Pyrcz Journal of Petroleum Science and Engineering 207, 109086, 2021 | 38 | 2021 |
| Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network H Jo, JE Santos, MJ Pyrcz Energy Exploration & Exploitation 38 (6), 2558-2578, 2020 | 36 | 2020 |
| Synthetic sonic log generation with machine learning: A contest summary from five methods Y Yu, C Xu, S Misra, W Li, M Ashby, W Pan, T Deng, H Jo, JE Santos, L Fu, ... Petrophysics 62 (04), 393-406, 2021 | 31 | 2021 |
| Two‐phase fluid flow properties of rough fractures with heterogeneous wettability: Analysis with lattice Boltzmann simulations EJ Guiltinan, JE Santos, MB Cardenas, DN Espinoza, Q Kang Water Resources Research 57 (1), e2020WR027943, 2021 | 31 | 2021 |
| Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network A Marcato, JE Santos, G Boccardo, H Viswanathan, D Marchisio, ... Chemical Engineering Journal 455, 140367, 2023 | 28 | 2023 |
| Development of the Senseiver for efficient field reconstruction from sparse observations JE Santos, ZR Fox, A Mohan, D O’Malley, H Viswanathan, N Lubbers Nature Machine Intelligence 5 (11), 1317-1325, 2023 | 26 | 2023 |
| MPLBM-UT: Multiphase LBM library for permeable media analysis JE Santos, A Gigliotti, A Bihani, C Landry, MA Hesse, MJ Pyrcz, ... SoftwareX 18, 101097, 2022 | 25 | 2022 |
| GeostatsPy python package MJ Pyrcz, H Jo, A Kupenko, W Liu, AE Gigliotti, T Salomaki, J Santos PyPI, Python Package Index, 2021 | 20 | 2021 |
| Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces JE Santos, ZR Fox, N Lubbers, YT Lin ICML 2023, 2023 | 18 | 2023 |
| Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework A Marcato, JE Santos, C Liu, G Boccardo, D Marchisio, AA Franco Energy Storage Materials 63, 102927, 2023 | 15 | 2023 |
| A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells A Hillsley, JE Santos, AM Rosales Scientific Reports 11 (1), 21855, 2021 | 15 | 2021 |
| Using machine learning to predict multiphase flow through complex fractures AK Ting, JE Santos, E Guiltinan Energies 15 (23), 8871, 2022 | 13 | 2022 |
| A dataset of 3D structural and simulated transport properties of complex porous media JE Santos, B Chang, A Gigliotti, Y Yin, W Song, M Prodanović, Q Kang, ... Scientific Data 9 (1), 579, 2022 | 13 | 2022 |
| Residual saturation during multiphase displacement in heterogeneous fractures with novel deep learning prediction E Guiltinan, JE Santos, Q Kang Unconventional Resources Technology Conference, 20–22 July 2020, 3147-3152, 2020 | 13 | 2020 |
| 3D Dataset of binary images: A collection of synthetically created digital rock images of complex media JE Santos, MJ Pyrcz, M Prodanović Data in Brief 40, 107797, 2022 | 12 | 2022 |
| Enhancing code translation in language models with few-shot learning via retrieval-augmented generation M Bhattarai, JE Santos, S Jones, A Biswas, B Alexandrov, D O'Malley arXiv preprint arXiv:2407.19619, 2024 | 11 | 2024 |
Masa ProdanovicProfessor, The University of Texas at AustinAdresă de e-mail confirmată pe utexas.edu
