| A lithium–oxygen battery with a long cycle life in an air-like atmosphere M Asadi, B Sayahpour, P Abbasi, AT Ngo, K Karis, JR Jokisaari, C Liu, ... Nature 555 (7697), 502-506, 2018 | 520 | 2018 |
| Tuning the electrolyte network structure to invoke quasi-solid state sulfur conversion and suppress lithium dendrite formation in Li–S batteries Q Pang, A Shyamsunder, B Narayanan, CY Kwok, LA Curtiss, LF Nazar Nature Energy 3 (9), 783-791, 2018 | 517 | 2018 |
| Carbon-based tribofilms from lubricating oils A Erdemir, G Ramirez, OL Eryilmaz, B Narayanan, Y Liao, G Kamath, ... Nature 536, 67-71, 2016 | 473 | 2016 |
| 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 | 264 | 2018 |
| 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 | 204 | 2018 |
| Tunable MoS2 bandgap in MoS2-graphene heterostructures A Ebnonnasir, B Narayanan, S Kodambaka, CV Ciobanu Applied Physics Letters 105 (3), 2014 | 196 | 2014 |
| A Long‐Cycle‐Life Lithium–CO2 Battery with Carbon Neutrality A Ahmadiparidari, RE Warburton, L Majidi, M Asadi, A Chamaani, ... Advanced Materials 31 (40), 1902518, 2019 | 190 | 2019 |
| Machine learning coarse grained models for water H Chan, MJ Cherukara, B Narayanan, TD Loeffler, C Benmore, SK Gray, ... Nature Communications 10, 379, 2019 | 179 | 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 | 173 | 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 | 153 | 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 | 139 | 2017 |
| Fast-charging aluminium–chalcogen batteries resistant to dendritic shorting Q Pang, J Meng, S Gupta, X Hong, CY Kwok, J Zhao, Y Jin, L Xu, ... Nature 608 (7924), 704-711, 2022 | 134 | 2022 |
| 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 | 111 | 2019 |
| 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 | 109 | 2017 |
| Ab-initio Based Bond Order Potential To Investigate Low Thermal Conductivity Of Stanene Nanostructures MJ Cherukara, B Narayanan, A Kinaci, S Kiran, SK Gray, MKY Chan, ... Journal of Physical Chemistry Letters, 2016 | 108 | 2016 |
| Metal-induced rapid transformation of diamond into single and multilayer graphene on wafer scale D Berman, SA Deshmukh, B Narayanan, SKRS Sankaranarayanan, ... Nature Communications 7, 12099, 2016 | 97 | 2016 |
| Towards accurate prediction of catalytic activity in IrO 2 nanoclusters via first principles-based variable charge force field FG Sen, A Kinaci, B Narayanan, SK Gray, MJ Davis, S Sankaranarayanan, ... Journal of Materials Chemistry A 3 (37), 18970-18982, 2015 | 91 | 2015 |
| Defect Dynamics in 2-D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy TK Patra, F Zhang, DS Schulman, H Chan, MJ Cherukara, M Terrones, ... ACS nano 12 (8), 8006-8016, 2018 | 90 | 2018 |
| Machine learning enabled autonomous microstructural characterization in 3D samples H Chan, M Cherukara, TD Loeffler, B Narayanan, ... NPJ Computational Materials 6 (1), 1, 2020 | 82 | 2020 |
| Accurate quantum chemical energies for 133000 organic molecules B Narayanan, PC Redfern, RS Assary, LA Curtiss Chemical science 10 (31), 7449-7455, 2019 | 74 | 2019 |
Subramanian KRS SankaranarayananUniversity of Illinois at Chicago, Argonne National Laboratoryuic.edu의 이메일 확인됨