| Polymer/Nanoparticle Interactions: Bridging the Gap YN Pandey, GJ Papakonstantopoulos, M Doxastakis Macromolecules, 2013 | 137 | 2013 |
| Multiscale modeling of polyisoprene on graphite YN Pandey, A Brayton, C Burkhart, GJ Papakonstantopoulos, ... The Journal of Chemical Physics 140 (5), 2014 | 81 | 2014 |
| Detailed atomistic Monte Carlo simulations of a polymer melt on a solid surface and around a nanoparticle YN Pandey, M Doxastakis The Journal of chemical physics 136 (9), 2012 | 80 | 2012 |
| Machine learning in the oil and gas industry YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Mach Learning in Oil Gas Industry, 2020 | 64 | 2020 |
| Deep learning based reservoir modeling YN PANDEY, KP Rangarajan, JM Yarus, N Chaudhary, N Srinivasan, ... US Patent 11,599,790, 2023 | 33 | 2023 |
| Deriving permeability and reservoir rock typing supported with self-organized maps som and artificial neural networks ann-optimal workflow for enabling core-log integration L Saputelli, R Celma, D Boyd, H Shebl, J Gomes, F Bahrini, A Escorcia, ... SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2019 | 24 | 2019 |
| Reaction kinetics in acid-catalyzed deprotection of polymer films GM Perera, YN Pandey, AA Patil, GE Stein, M Doxastakis The Journal of Physical Chemistry C 116 (46), 24706-24716, 2012 | 14 | 2012 |
| Characterizing acid diffusion lengths in chemically amplified resists from measurements of deprotection kinetics AA Patil, YN Pandey, M Doxastakis, GE Stein Journal of Micro/Nanolithography, MEMS, and MOEMS 13 (4), 043017-043017, 2014 | 11 | 2014 |
| Overview of machine learning and deep learning concepts YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Machine Learning in the Oil and Gas Industry: Including Geosciences …, 2020 | 9 | 2020 |
| Toward oil and gas 4.0 YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Machine Learning in the Oil and Gas Industry: Including Geosciences …, 2020 | 6 | 2020 |
| Fracture-Size-Correlated Aperture Mapping for Localized Porosity and Permeability Determination YN Pandey, G Shi, JM Yarus, V Liceras US Patent App. US 14/908,758, 2017 | 6 | 2017 |
| Recurrent neural network model for bottomhole pressure and temperature in stepdown analysis S Madasu, YN PANDEY, K Rangarajan US Patent 11,441,404, 2022 | 5 | 2022 |
| Target object simulation using undulating surfaces JM Yarus, RM Srivastava, G Shi, V Liceras, YN PANDEY, Z WANG US Patent 10,176,631, 2019 | 5 | 2019 |
| Reservoir engineering YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Machine Learning in the Oil and Gas Industry: Including Geosciences …, 2020 | 4 | 2020 |
| Target object simulation using orbit propagation JM Yarus, RM Srivastava, G Shi, V Liceras, YN PANDEY, Z WANG US Patent 11,250,182, 2022 | 3 | 2022 |
| Modeling the Complex Stress Field-Incorporating Stochastic Models of Natural Fractures to Improve Completion Design in Unconventional Reservoirs Y Aimene, J Yarus, RM Srivastava, Y Pandey Petroleum Geostatistics 2015, cp-456-00006, 2015 | 3 | 2015 |
| Point-vector based modeling of petroleum reservoir properties for a gridless reservoir simulation model JM Yarus, RM Srivastava, Y Zagayevskiy, J Fei, YN PANDEY US Patent 11,906,696, 2024 | 2 | 2024 |
| Opportunities, Challenges, and Future Trends YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Machine Learning in the Oil and Gas Industry: Including Geosciences …, 2020 | 2 | 2020 |
| Python Programming Primer YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Machine Learning in the Oil and Gas Industry: Including Geosciences …, 2020 | 2 | 2020 |
| Recurrent neural network model for multi-stage pumping S Madasu, YN PANDEY, KP Rangarajan US Patent App. 16/652,171, 2020 | 2 | 2020 |
Manolis DoxastakisUniversity of Tennessee, KnoxvilleVerified email at utk.edu
