| 1D/3D transient HVAC thermal modeling of an off-highway machinery cabin using CFD-ANN hybrid method S Singh, H Abbassi Applied Thermal Engineering 135, 406-417, 2018 | 73 | 2018 |
| Machine-learned coarse-grained models KK Bejagam, S Singh, Y An, SA Deshmukh The journal of physical chemistry letters 9 (16), 4667-4672, 2018 | 69 | 2018 |
| Machine learnt image processing to predict weight and size of rice kernels SK Singh, SK Vidyarthi, R Tiwari Journal of Food Engineering 274, 109828, 2020 | 60 | 2020 |
| Air-impingement cooling of boiled eggs: Analysis of flow visualization and heat transfer F Erdogdu, M Ferrua, SK Singh, RP Singh Journal of Food Engineering 79 (3), 920-928, 2007 | 57 | 2007 |
| Machine-learning enabled new insights into the coil-to-globule transition of thermosensitive polymers using a coarse-grained model KK Bejagam, Y An, S Singh, SA Deshmukh The Journal of Physical Chemistry Letters 9 (22), 6480-6488, 2018 | 45 | 2018 |
| PSO-assisted development of new transferable coarse-grained water models KK Bejagam, S Singh, Y An, C Berry, SA Deshmukh The Journal of Physical Chemistry B 122 (6), 1958-1971, 2018 | 43 | 2018 |
| Nanoparticle activated and directed assembly of graphene into a nanoscroll KK Bejagam, S Singh, SA Deshmukh Carbon 134, 43-52, 2018 | 41 | 2018 |
| Unraveling the conformations of backbone and side chains in thermosensitive bottlebrush polymers KK Bejagam, SK Singh, R Ahn, SA Deshmukh Macromolecules 52 (23), 9398-9408, 2019 | 40 | 2019 |
| Inductor assembly for a product conveyance system RR Georgison, S Singh US Patent 8,234,987, 2012 | 37 | 2012 |
| Prediction of size and mass of pistachio kernels using random Forest machine learning SK Vidyarthi, R Tiwari, SK Singh, HW Xiao Journal of Food Process Engineering 43 (9), e13473, 2020 | 35 | 2020 |
| Machine-learning based stacked ensemble model for accurate analysis of molecular dynamics simulations SK Singh, KK Bejagam, Y An, SA Deshmukh The Journal of Physical Chemistry A 123 (24), 5190-5198, 2019 | 33 | 2019 |
| Gastric digestion of foods: mathematical modeling of flow field in a human stomach S Singh, RP Singh Food engineering interfaces, 99-117, 2011 | 33 | 2011 |
| Fluid flow and disintegration of food in human stomach SK Singh University of California, Davis, 2007 | 26 | 2007 |
| Solvation dynamics of N-substituted acrylamide polymers and the importance for phase transition behavior IO de Solorzano, KK Bejagam, Y An, SK Singh, SA Deshmukh Soft Matter 16 (6), 1582-1593, 2020 | 25 | 2020 |
| 3D investigation into the thermal behavior of the wet multi-disk axle brake of an off-highway machinery SK Singh, H Abbassi, P Tamamidis Applied Thermal Engineering 136, 576-588, 2018 | 24 | 2018 |
| A mathematical model of heat transfer during tomato peeling using selected electric infrared emitters SK Vidyarthi, HM El Mashad, R Khir, SK Upadhyaya, SK Singh, R Zhang, ... Biosystems Engineering 186, 106-117, 2019 | 23 | 2019 |
| Air impingement cooling of cylindrical objects using slot jets SK Singh, RP Singh Food Engineering: Integrated Approaches, 89-104, 2008 | 23 | 2008 |
| Classification of first quality fancy cashew kernels using four deep convolutional neural network models SK Vidyarthi, SK Singh, R Tiwari, HW Xiao, R Rai Journal of Food Process Engineering 43 (12), e13552, 2020 | 22 | 2020 |
| Development of an accurate coarse-grained model of poly (acrylic acid) in explicit solvents Y An, S Singh, KK Bejagam, SA Deshmukh Macromolecules 52 (13), 4875-4887, 2019 | 22 | 2019 |
| Development of non‐bonded interaction parameters between graphene and water using particle swarm optimization KK Bejagam, S Singh, SA Deshmukh Journal of Computational Chemistry 39 (12), 721-734, 2018 | 21 | 2018 |
Sanket A. DeshmukhAssociate Professor, Department of Chemical Engineering, Virginia TechPatvirtintas el. paštas vt.edu