| Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model M Liu, D Vashisth, D Grana, T Mukerji Journal of Geophysical Research: Solid Earth, e2022JB025372, 2023 | 14 | 2023 |
| Joint inversion of Rayleigh wave fundamental and higher order mode phase velocity dispersion curves using multi‐objective grey wolf optimisation D Vashisth, B Shekar, S Srivastava Geophysical Prospecting 70 (3), 479-501, 2022 | 6 | 2022 |
| An ML scale for Eastern Dharwar Craton and adjoining regions A Sharma, D Vashisth, B Naresh, G Suresh, PS Raju, RV Raghavan, ... Journal of Seismology 25, 1251-1263, 2021 | 4 | 2021 |
| Inversion of Rayleigh-Wave Phase and Group Velocity Dispersion Curves for S-Wave Velocity by Grey Wolf Optimization D Vashisth, B Shekar 81st EAGE Conference and Exhibition 2019, 1-5, 2019 | 4 | 2019 |
| Direct estimation of porosity from seismic data using rock-and wave-physics-informed neural networks D Vashisth, T Mukerji The Leading Edge 41 (12), 840-846, 2022 | 3 | 2022 |
| Random Forest Regressor for Layered Earth data inversion AP Singh, D Vashisth, S Srivastava AGU Fall Meeting Abstracts 2019, S53D-0483, 2019 | 3 | 2019 |
| Inversion of potential field data using whale optimization D Vashisth, S Srivastava, A Agarwal SEG International Exposition and Annual Meeting, SEG-2018-2994811, 2018 | 3 | 2018 |
| Deep learning for joint geophysical inversion of seismic and MT data sets A Pratap Singh, D Vashisth, S Srivastava SEG International Exposition and Annual Meeting, D011S071R006, 2021 | 2 | 2021 |
| A deep learning approach for joint inversion of DC Resistivity and MT data AP Singh, D Vashisth, S Srivastava 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 2 | 2021 |
| Whale Optimization Algorithm: A Robust Strategy to invert geophysical data sets D Vashisth, A Routa, PR Mohanty, S Srivastava AGU Fall Meeting Abstracts 2019, NS13B-0655, 2019 | 2 | 2019 |
| Direct estimation of porosity from seismic data using rock and wave physics informed neural networks (RW-PINN) D Vashisth, T Mukerji arXiv preprint arXiv:2210.00042, 2022 | 1 | 2022 |
| Petrophysical Inversion of seismic dataset using artificial neural networks A Singh, D Vashisth, A Vishwakarma https://agu2021fallmeeting-agu.ipostersessions.com/default.aspx?s=2E-86-66 …, 2021 | 1 | 2021 |
| One-Dimensional Seismic Inversion using Machine Learning techniques P Singh, D Vashisth, AP Singh AGU Fall Meeting Abstracts 2020, S053-0011, 2020 | 1 | 2020 |
| Deep learning approach for potential field inversion V Purohit, D Vashisth, G Tripathi AGU Fall Meeting Abstracts 2019, S51B-04, 2019 | 1 | 2019 |
| CAGE19-1 cruise report: passive and active ocean-bottom seismic surveys at Vestnesa Ridge, west-Svalbard margin within the framework of the SEAMSTRESS project S Bünz CAGE–Centre for Arctic Gas Hydrate, Environment and Climate Report Series 7, 2019 | 1 | 2019 |
| DispersioNET: Joint Inversion of Love-wave Multimode Phase Velocity Dispersion Curves Using Convolutional Neural Networks R Sharma, D Vashisth, B Shekar AGU23, 2023 | | 2023 |
| Dispersionet: Joint Inversion of Rayleigh-Wave Multimode Phase Velocity Dispersion Curves Using Convolutional Neural Networks R Sharma, D Vashisth, B Shekar 2nd EAGE/Aqua Foundation Indian Near Surface Geophysics Conference …, 2023 | | 2023 |
| Stochastic Inversion of Gravity and Magnetic Data to Build Subsurface Geological Fault Models Using Evolution and Swarm Intelligence-Inspired Optimization Algorithms D Vashisth, A Pollack, T Mukerji, D Siler Proceedings, 48th Workshop on Geothermal Reservoir Engineering, 2023 | | 2023 |
| Inversion of Two-dimensional Electrical Resistivity data using Convolutional Neural Networks (U-Net SM Gupta, D Devpal, D Vashisth, VP Maurya, S Chandra Authorea Preprints, 2023 | | 2023 |
| 1Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines) Dhanbad AP Singh, D Vashisth, S Srivastava | | 2021 |
Tapan MukerjiStanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
