| Macroscale superlubricity enabled by graphene nanoscroll formation D Berman, SA Deshmukh, SKRS Sankaranarayanan, A Erdemir, ... Science 348 (6239), 1118-1122, 2015 | 823 | 2015 |
| Carbon-based tribofilms from lubricating oils A Erdemir, G Ramirez, OL Eryilmaz, B Narayanan, Y Liao, G Kamath, ... Nature 536 (7614), 67-71, 2016 | 444 | 2016 |
| Extraordinary macroscale wear resistance of one atom thick graphene layer D Berman, SA Deshmukh, SKRS Sankaranarayanan, A Erdemir, ... Advanced Functional Materials 24 (42), 6640-6646, 2014 | 326 | 2014 |
| Molecular dynamics simulation study of the melting of Pd-Pt nanoclusters SKRS Sankaranarayanan, VR Bhethanabotla, B Joseph Physical Review B—Condensed Matter and Materials Physics 71 (19), 195415, 2005 | 251 | 2005 |
| Operando tribochemical formation of onion-like-carbon leads to macroscale superlubricity D Berman, B Narayanan, MJ Cherukara, SKRS Sankaranarayanan, ... Nature communications 9 (1), 1164, 2018 | 249 | 2018 |
| High-Entropy 2D Carbide MXenes: TiVNbMoC3 and TiVCrMoC3 SK Nemani, B Zhang, BC Wyatt, ZD Hood, S Manna, R Khaledialidusti, ... ACS nano 15 (8), 12815-12825, 2021 | 218 | 2021 |
| Role of Solvation Dynamics and Local Ordering of Water in Inducing Conformational Transitions in Poly(N-isopropylacrylamide) Oligomers through the LCST SA Deshmukh, SKRS Sankaranarayanan, K Suthar, DC Mancini The Journal of Physical Chemistry B 116 (9), 2651-2663, 2012 | 213 | 2012 |
| Perovskite nickelates as electric-field sensors in salt water Z Zhang, D Schwanz, B Narayanan, M Kotiuga, JA Dura, M Cherukara, ... Nature 553 (7686), 68-72, 2018 | 189 | 2018 |
| Machine learning coarse grained models for water H Chan, MJ Cherukara, B Narayanan, TD Loeffler, C Benmore, SK Gray, ... Nature communications 10 (1), 379, 2019 | 164 | 2019 |
| Crude-oil-repellent membranes by atomic layer deposition: oxide interface engineering HC Yang, Y Xie, H Chan, B Narayanan, L Chen, RZ Waldman, ... ACS nano 12 (8), 8678-8685, 2018 | 160 | 2018 |
| Machine learning force field parameters from ab initio data Y Li, H Li, FC Pickard IV, B Narayanan, FG Sen, MKY Chan, ... Journal of chemical theory and computation 13 (9), 4492-4503, 2017 | 145 | 2017 |
| Quantitative 3D evolution of colloidal nanoparticle oxidation in solution Y Sun, X Zuo, SKRS Sankaranarayanan, S Peng, B Narayanan, ... Science 356 (6335), 303-307, 2017 | 135 | 2017 |
| Reconfigurable perovskite nickelate electronics for artificial intelligence HT Zhang, TJ Park, ANMN Islam, DSJ Tran, S Manna, Q Wang, S Mondal, ... Science 375 (6580), 533-539, 2022 | 133 | 2022 |
| Self-Improving Anode for Lithium-Ion Batteries Based on Amorphous to Cubic Phase Transition in TiO2 Nanotubes H Xiong, H Yildirim, EV Shevchenko, VB Prakapenka, B Koo, MD Slater, ... The Journal of Physical Chemistry C 116 (4), 3181-3187, 2012 | 132 | 2012 |
| Trends in Na-ion solvation with alkyl-carbonate electrolytes for sodium-ion batteries: insights from first-principles calculations M Shakourian-Fard, G Kamath, K Smith, H Xiong, ... The Journal of Physical Chemistry C 119 (40), 22747-22759, 2015 | 121 | 2015 |
| Habituation based synaptic plasticity and organismic learning in a quantum perovskite F Zuo, P Panda, M Kotiuga, J Li, M Kang, C Mazzoli, H Zhou, A Barbour, ... Nature communications 8 (1), 240, 2017 | 107 | 2017 |
| Flow induced by acoustic streaming on surface-acoustic-wave devices and its application in biofouling removal: A computational study and comparisons to experiment SKRS Sankaranarayanan, S Cular, VR Bhethanabotla, B Joseph Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (6 …, 2008 | 107 | 2008 |
| Machine learning classical interatomic potentials for molecular dynamics from first-principles training data H Chan, B Narayanan, MJ Cherukara, FG Sen, K Sasikumar, SK Gray, ... The Journal of Physical Chemistry C 123 (12), 6941-6957, 2019 | 100 | 2019 |
| Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures MJ Cherukara, B Narayanan, A Kinaci, K Sasikumar, SK Gray, MKY Chan, ... The journal of physical chemistry letters 7 (19), 3752-3759, 2016 | 99 | 2016 |
| In silico based rank-order determination and experiments on nonaqueous electrolytes for sodium ion battery applications G Kamath, RW Cutler, SA Deshmukh, M Shakourian-Fard, R Parrish, ... The Journal of Physical Chemistry C 118 (25), 13406-13416, 2014 | 99 | 2014 |
Badri NarayananUniversity of Louisville, Argonne National Laboratory在 anl.gov 的电子邮件经过验证
