Arun Mannodi-Kanakkithodi

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Ghanshyam PilaniaSenior Engineer, GE Aerospace ResearchAdresse e-mail validée de ge.com
Maria K Y ChanScientist, Center for Nanoscale Materials, Argonne National LaboratoryAdresse e-mail validée de anl.gov
Huan TranGeorgia Institute of Technology & Matmerize, Inc.Adresse e-mail validée de mse.gatech.edu
Chiho KimGeorgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Yang CaoUniversity of ConnecticutAdresse e-mail validée de uconn.edu
Gregory SotzingProfessor of Chemistry, University of ConnecticutAdresse e-mail validée de uconn.edu
Gregory M TreichSolvay Cytec GroupAdresse e-mail validée de uconn.edu
Rohit BatraAssistant Professor IIT MadrasAdresse e-mail validée de iitm.ac.in
Turab LookmanLos Alamos National LaboratoryAdresse e-mail validée de lanl.gov
Fatih G. SenNovelisAdresse e-mail validée de novelis.com
Rui MaUniversity of Connecticut, EntegrisAdresse e-mail validée de uconn.edu
Alex MartinsonPrincipal Investigator, Argonne National LaboratoryAdresse e-mail validée de anl.gov
Duyen H CaoResearch Scientist at First SolarAdresse e-mail validée de firstsolar.com
Robert KlieUniversity of Illinois at ChicagoAdresse e-mail validée de uic.edu
Ji-Sang ParkSKKU Advanced Institute of Nanotechnology (SAINT) and Department of Nano Engineering, SungkyunkwanAdresse e-mail validée de skku.edu
Nari JeonChungnam National UniversityAdresse e-mail validée de cnu.ac.kr
R D SchallerArgonne National Laboratory; Northwestern UniversityAdresse e-mail validée de anl.gov
Blas Pedro UberuagaLos Alamos National LaboratoryAdresse e-mail validée de buber.net
Anand ChandrasekaranSchrodinger LLCAdresse e-mail validée de schrodinger.com
Chenchen WangUniversity of ConnecticutAdresse e-mail validée de uconn.edu

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Arun Mannodi-Kanakkithodi

Purdue University

Adresse e-mail validée de purdue.edu - Page d'accueil

Density Functional Theory Materials Informatics Accelerated Materials Discovery


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Machine learning in materials informatics: recent applications and prospects R Ramprasad, R Batra, G Pilania, A Mannodi-Kanakkithodi, C Kim npj Computational Materials 3 (1), 54, 2017	1413	2017
Machine learning bandgaps of double perovskites G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ... Scientific reports 6 (1), 19375, 2016	492	2016
Machine learning strategy for accelerated design of polymer dielectrics A Mannodi-Kanakkithodi, G Pilania, TD Huan, T Lookman, R Ramprasad Scientific reports 6 (1), 1-10, 2016	377	2016
Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond A Mannodi-Kanakkithodi, A Chandrasekaran, C Kim, TD Huan, G Pilania, ... Materials Today 21 (7), 785-796, 2018	201	2018
A polymer dataset for accelerated property prediction and design TD Huan, A Mannodi-Kanakkithodi, C Kim, V Sharma, G Pilania, ... Scientific data 3 (1), 1-10, 2016	200	2016
Rational co‐design of polymer dielectrics for energy storage A Mannodi‐Kanakkithodi, GM Treich, TD Huan, R Ma, M Tefferi, Y Cao, ... Advanced Materials 28 (30), 6277-6291, 2016	191	2016
Accelerated materials property predictions and design using motif-based fingerprints TD Huan, A Mannodi-Kanakkithodi, R Ramprasad Physical Review B 92 (1), 014106, 2015	190	2015
Poly (dimethyltin glutarate) as a prospective material for high dielectric applications AF Baldwin, R Ma, A Mannodi‐Kanakkithodi, TD Huan, C Wang, M Tefferi, ... Advanced Materials 27 (2), 346-351, 2015	72	2015
Heterogeneous mesoporous manganese/cobalt oxide catalysts for selective oxidation of 5-hydroxymethylfurfural to 2,5-diformylfuran SLS Sourav Biswas, Biswanath Dutta, Arun Mannodi-Kanakkithodi, Ryan Clarke ... Chem. Commun. 10 (1039), 2017	71*	2017
Mining materials design rules from data: the example of polymer dielectrics A Mannodi-Kanakkithodi, TD Huan, R Ramprasad Chemistry of Materials 29 (21), 9001-9010, 2017	67	2017
Critical assessment of regression-based machine learning methods for polymer dielectrics A Mannodi-Kanakkithodi, G Pilania, R Ramprasad Computational Materials Science 125, 123-135, 2016	66	2016
Rational design of organotin polyesters AF Baldwin, TD Huan, R Ma, A Mannodi-Kanakkithodi, M Tefferi, N Katz, ... Macromolecules 48 (8), 2422-2428, 2015	66	2015
Machine-learned impurity level prediction for semiconductors: the example of Cd-based chalcogenides A Mannodi-Kanakkithodi, MY Toriyama, FG Sen, MJ Davis, RF Klie, ... npj computational materials 6 (1), 39, 2020	58	2020
Effect of selenium and chlorine co-passivation in polycrystalline CdSeTe devices J Guo, A Mannodi-Kanakkithodi, FG Sen, E Schwenker, ES Barnard, ... Applied Physics Letters 115 (15), 2019	53	2019
Comprehensive Computational Study of Partial Lead Substitution in Methylammonium Lead Bromide A Mannodi-Kanakkithodi, JS Park, N Jeon, DH Cao, DJ Gosztola, ... Chemistry of Materials 31 (10), 3599-3612, 2019	49	2019
Data-driven design of novel halide perovskite alloys A Mannodi-Kanakkithodi, MKY Chan Energy & Environmental Science 15 (5), 1930-1949, 2022	48	2022
Machine learning in materials informatics: recent applications and prospects. npj Computational Materials 3 R Ramprasad, R Batra, G Pilania, A Mannodi-Kanakkithodi, C Kim DOI, 2017	47	2017
Polymer dielectrics for capacitor application S Nasreen, GM Treich, ML Baczkowski, AK Mannodi‐Kanakkithodi, Y Cao, ... Kirk‐Othmer Encyclopedia of Chemical Technology, 1-29, 2017	43*	2017
Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers A Mannodi-Kanakkithodi, G Pilania, R Ramprasad, T Lookman, ... Computational Materials Science 125, 92-99, 2016	40	2016
Optimization of organotin polymers for dielectric applications GM Treich, S Nasreen, A Mannodi Kanakkithodi, R Ma, M Tefferi, J Flynn, ... ACS Applied Materials & Interfaces 8 (33), 21270-21277, 2016	40	2016

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