Badri Narayanan

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Subramanian KRS SankaranarayananUniversity of Illinois at Chicago, Argonne National LaboratoryVerifisert e-postadresse på uic.edu
Stephen K. GrayCenter for Nanoscale Materials, Argonne National LaboratoryVerifisert e-postadresse på anl.gov
Maria K Y ChanScientist, Center for Nanoscale Materials, Argonne National LaboratoryVerifisert e-postadresse på anl.gov
Cristian V. CiobanuProfessor, Colorado School of MinesVerifisert e-postadresse på mines.edu
Fatih G. SenNovelisVerifisert e-postadresse på novelis.com
Alper KınacıNorthwestern UniversityVerifisert e-postadresse på northwestern.edu
Sanket A. DeshmukhAssociate Professor, Department of Chemical Engineering, Virginia TechVerifisert e-postadresse på vt.edu
Ivar ReimanisProfessor of Metallurgical and Materials Engineering, Colorado School of MinesVerifisert e-postadresse på mines.edu
V. G. Pol, Professor of Chemical Engin...Purdue University, IN 47907 USAVerifisert e-postadresse på purdue.edu
Abbas EbnonnasirPostdoctoral, Department of Materials Science and Eng. University of California Los AngelesVerifisert e-postadresse på ucla.edu
Adri van DuinDistinguished Professor of Mechanical Engineering, Penn State UniversityVerifisert e-postadresse på psu.edu
Branden KappesPresident, ContextualizeVerifisert e-postadresse på contextualize.us.com
Jinhui TaoSenior ScientistVerifisert e-postadresse på pnnl.gov
Sumit AgarwalColorado School of MinesVerifisert e-postadresse på mines.edu
Somilkumar Rathi (Somil)SemiconductorsVerifisert e-postadresse på asu.edu
Hanchen HuangDean and ProfessorVerifisert e-postadresse på okstate.edu

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Badri Narayanan

University of Louisville, Argonne National Laboratory

Verifisert e-postadresse på anl.gov

Computational Materials Science Machine Learning Energy Storage Tribology Reactive Processes


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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	526	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	519	2018
Carbon-based tribofilms from lubricating oils A Erdemir, G Ramirez, OL Eryilmaz, B Narayanan, Y Liao, G Kamath, ... Nature 536, 67-71, 2016	477	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	206	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	191	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	180	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	174	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	156	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	135	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	109	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	75	2019

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