| Predicting NRTL binary interaction parameters from molecular simulations A Ravichandran, R Khare, CC Chen AIChE Journal 64 (7), 2758-2769, 2018 | 31 | 2018 |
| Revisiting electrolyte thermodynamic models: Insights from molecular simulations N Hossain, A Ravichandran, R Khare, CC Chen AIChE Journal 64 (10), 3728-3734, 2018 | 22 | 2018 |
| Bridging two‐liquid theory with molecular simulations for electrolytes: An investigation of aqueous NaCl solution SH Saravi, A Ravichandran, R Khare, CC Chen AIChE Journal 65 (4), 1315-1324, 2019 | 20 | 2019 |
| Treatment of textile effluent using SBR with pre and post treatments: Kinetics, simulation and optimization of process time for shock loads R Ashwin, KS Athinthra, M Sriramvignesh, MN Kathiravan, KP Gopinath Desalination 275 (1-3), 203-211, 2011 | 12 | 2011 |
| Prediction of thermodynamic properties of organic mixtures: Combining molecular simulations with classical thermodynamics A Ravichandran, H Tun, R Khare, CC Chen Fluid Phase Equilibria, 112759, 2020 | 9 | 2020 |
| Molecular dynamics simulations of ultrafast radiation induced melting at metal–semiconductor interfaces A Ravichandran, M Mehta, AA Woodworth, JW Lawson Journal of Applied Physics 129 (21), 215304, 2021 | 6 | 2021 |
| Prediction of χ Parameter of Polymer Blends by Combining Molecular Simulations and Integral Equation Theory A Ravichandran, CC Chen, R Khare The Journal of Physical Chemistry B 122 (38), 9022-9031, 2018 | 5 | 2018 |
| Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach A Ravichandran, S Honrao, S Xie, E Fonseca, JW Lawson The Journal of Physical Chemistry Letters 15, 121-126, 2023 | 1 | 2023 |
| Water structure and mobility in acrylamide copolymer glycohydrogels with galactose and siloxane pendant groups AL Fogel, A Ravichandran, S Mani, B Upadhyay, R Khare, SE Morgan Journal of Polymer Science Part B: Polymer Physics 57 (10), 584-597, 2019 | 1 | 2019 |
| Predicting the functional state of protein kinases using interpretable graph neural networks from sequence and structural data A Ravichandran, JC Araque, JW Lawson Proteins: Structure, Function, and Bioinformatics, 2023 | | 2023 |
Rajesh KhareProfessor of Chemical Engineering, Texas Tech UniversityVerified email at ttu.edu
