Arun Mannodi-Kanakkithodi
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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
Machine learning bandgaps of double perovskites
G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ...
Scientific reports 6 (1), 19375, 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), 20952, 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
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
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
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
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
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
Rational design of organotin polyesters
AF Baldwin, TD Huan, R Ma, A Mannodi-Kanakkithodi, M Tefferi, N Katz, ...
Macromolecules 48 (8), 2422-2428, 2015
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
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
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
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
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
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
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
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
A rational co-design approach to the creation of new dielectric polymers with high energy density
GM Treich, M Tefferi, S Nasreen, A Mannodi-Kanakkithodi, Z Li, ...
IEEE Transactions on Dielectrics and Electrical Insulation 24 (2), 732-743, 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
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