| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 376 | 2021 |
| End-to-end Alzheimer’s disease diagnosis and biomarker identification S Esmaeilzadeh, DI Belivanis, KM Pohl, E Adeli Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 103 | 2018 |
| Meshfreeflownet: A physics-constrained deep continuous space-time super-resolution framework S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 97 | 2020 |
| Shape optimization of wave energy converters for broadband directional incident waves S Esmaeilzadeh, MR Alam Ocean Engineering 174, 186-200, 2019 | 72 | 2019 |
| End-to-end parkinson disease diagnosis using brain mr-images by 3d-cnn S Esmaeilzadeh, Y Yang, E Adeli arXiv preprint arXiv:1806.05233, 2018 | 65 | 2018 |
| Multiscale modeling of compartmentalized reservoirs using a hybrid clustering-based non-local approach S Esmaeilzadeh, A Salehi, G Hetz, F Olalotiti-lawal, H Darabi, ... Journal of Petroleum Science and Engineering 184, 106485, 2020 | 60 | 2020 |
| A general spatio-temporal clustering-based non-local formulation for multiscale modeling of compartmentalized reservoirs S Esmaeilzadeh, A Salehi, G Hetz, F Olalotiti-Lawal, H Darabi, ... SPE Western Regional Meeting, D021S004R005, 2019 | 43 | 2019 |
| Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia M Neshat, S Mirjalili, NY Sergiienko, S Esmaeilzadeh, E Amini, A Heydari, ... Energy 239, 122463, 2022 | 41 | 2022 |
| Neural abstractive text summarization and fake news detection S Esmaeilzadeh, GX Peh, A Xu arXiv preprint arXiv:1904.00788, 2019 | 40 | 2019 |
| A critical review of the role of thin liquid films for modified salinity brine recovery processes H Guo, N Nazari, S Esmaeilzadeh, AR Kovscek Current Opinion in Colloid & Interface Science 50, 101393, 2020 | 25 | 2020 |
| Active cloaking in Stokes flows via reinforcement learning M Mirzakhanloo, S Esmaeilzadeh, MR Alam Journal of Fluid Mechanics 903, A34, 2020 | 24 | 2020 |
| Pore-scale study of water salinity effect on thin-film stability for a moving oil droplet MO Abu-Al-Saud, S Esmaeilzadeh, A Riaz, HA Tchelepi Journal of colloid and interface science 569, 366-377, 2020 | 21 | 2020 |
| Anima Anandkumar, et al. Meshfreeflownet: a physicsconstrained deep continuous space-time super-resolution framework S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ... SC20: International Conference for High Performance Computing, Networking …, 0 | 21 | |
| Insights into the impact of water salinity on multiphase flow at the pore-scale in carbonate formations M Abu-Al-Saud, S Esmaeilzadeh, H Tchelepi SPE Middle East Oil and Gas Show and Conference, D041S049R002, 2019 | 19 | 2019 |
| Two-phase multiscale numerical framework for modeling thin films on curved solid surfaces in porous media Z Qin, S Esmaeilzadeh, A Riaz, HA Tchelepi Journal of Computational Physics 413, 109464, 2020 | 17 | 2020 |
| Wettability and capillary effects: Dynamics of pinch-off in unconstricted straight capillary tubes S Esmaeilzadeh, Z Qin, A Riaz, HA Tchelepi Physical Review E 102 (2), 023109, 2020 | 11 | 2020 |
| A Multiscale Data-Driven Forecasting Framework for Optimum Field Development Planning A Salehi, G Hetz, S Esmaeilzadeh, F Olalotiti, D Castineira SPE Latin America and Caribbean Petroleum Engineering Conference, D011S001R002, 2020 | 9 | 2020 |
| Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning S Esmaeilzadeh, N Salajegheh, A Ziai, J Boote arXiv preprint arXiv:2203.02124, 2022 | 4 | 2022 |
| Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering S Esmaeilzadeh, B Williams, D Shamsi, O Vikingstad Artificial Intelligence in Education 13355, 526–532, 2022 | 4 | 2022 |
| Clinical Parameters Prediction for Gait Disorder Recognition S Esmaeilzadeh, O Khebzegga, M Moradshahi arXiv preprint arXiv:1806.04627, 2018 | 4 | 2018 |
Hamdi TchelepiProfessor of Energy Science and Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
