| 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 | 1101 | 2017 |
| Machine learning bandgaps of double perovskites G Pilania, A Mannodi-Kanakkithodi, BP Uberuaga, R Ramprasad, ... Scientific reports 6 (1), 19375, 2016 | 419 | 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 | 331 | 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 | 166 | 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 | 165 | 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 | 164 | 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 | 158 | 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 | 66 | 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 | 64* | 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 | 60 | 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 | 58 | 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 | 54 | 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 | 41 | 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 | 40 | 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 | 40 | 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 | 38* | 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 | 37 | 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 | 36 | 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 | 32 | 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 | 31 | 2016 |
Ghanshyam PilaniaSenior Engineer, GE ResearchVerified email at ge.com
