| Solving the electronic structure problem with machine learning A Chandrasekaran, D Kamal, R Batra, C Kim, L Chen, R Ramprasad npj Computational Materials 5 (1), 22, 2019 | 249 | 2019 |
| Machine-learning predictions of polymer properties with Polymer Genome H Doan Tran, C Kim, L Chen, A Chandrasekaran, R Batra, S Venkatram, ... Journal of Applied Physics 128 (17), 2020 | 142 | 2020 |
| Tuning surface states of metal/polymer contacts toward highly insulating polymer-based dielectrics Y Wang, S Nasreen, D Kamal, Z Li, C Wu, J Huo, L Chen, R Ramprasad, ... ACS Applied Materials & Interfaces 13 (38), 46142-46150, 2021 | 33 | 2021 |
| PolyG2G: A novel machine learning algorithm applied to the generative design of polymer dielectrics R Gurnani, D Kamal, H Tran, H Sahu, K Scharm, U Ashraf, R Ramprasad Chemistry of Materials 33 (17), 7008-7016, 2021 | 29 | 2021 |
| A charge density prediction model for hydrocarbons using deep neural networks D Kamal, A Chandrasekaran, R Batra, R Ramprasad Machine Learning: Science and Technology 1 (2), 025003, 2020 | 23 | 2020 |
| Computable bulk and interfacial electronic structure features as proxies for dielectric breakdown of polymers D Kamal, Y Wang, HD Tran, L Chen, Z Li, C Wu, S Nasreen, Y Cao, ... ACS applied materials & interfaces 12 (33), 37182-37187, 2020 | 21 | 2020 |
| Dielectric polymers tolerant to electric field and temperature extremes: Integration of phenomenology, informatics, and experimental validation C Wu, L Chen, A Deshmukh, D Kamal, Z Li, P Shetty, J Zhou, H Sahu, ... ACS Applied Materials & Interfaces 13 (45), 53416-53424, 2021 | 20 | 2021 |
| Novel high voltage polymer insulators using computational and data-driven techniques D Kamal, H Tran, C Kim, Y Wang, L Chen, Y Cao, VR Joseph, ... The Journal of Chemical Physics 154 (17), 2021 | 15 | 2021 |
| EZFF: Python library for multi-objective parameterization and uncertainty quantification of interatomic forcefields for molecular dynamics A Krishnamoorthy, A Mishra, D Kamal, S Hong, K Nomura, S Tiwari, ... SoftwareX 13, 100663, 2021 | 9 | 2021 |
| High dielectric constant and high breakdown strength polyimide via tin complexation of the polyamide acid precursor A Alamri, C Wu, S Nasreen, H Tran, O Yassin, R Gentile, D Kamal, ... RSC advances 12 (15), 9095-9100, 2022 | 8 | 2022 |
| Deep well trapping of hot carriers in a hexagonal boron nitride coating of polymer dielectrics T Linker, Y Wang, A Mishra, D Kamal, Y Cao, RK Kalia, A Nakano, ... ACS Applied Materials & Interfaces 13 (50), 60393-60400, 2021 | 5 | 2021 |
| DESIGNING POLYMERS RESISTANT TO ELECTRIC FIELD EXTREMES WITH MATERIALS MODELING AND MACHINE LEARNING D Kamal Georgia Institute of Technology, 2021 | | 2021 |
| A Novel Artificial Intelligence Platform Applied to the Generative Design of Polymer Dielectrics R Gurnani, D Kamal, H Tran, R Ramprasad APS March Meeting Abstracts 2021, C60. 003, 2021 | | 2021 |
| A massive dataset of synthesis-friendly hypothetical polymers A Rajan, C Kim, C Kuenneth, D Kamal, R Gurnani, R Batra, R Ramprasad APS March Meeting Abstracts 2021, E60. 011, 2021 | | 2021 |
| Design of novel polymer-metal interfaces using first principles-informed artificial intelligence techniques R Ma, T Linker, L Yang, A Mishra, D Kamal, Y Wang, KI Nomura, ... APS March Meeting Abstracts 2021, J22. 005, 2021 | | 2021 |
| An Autonomous Computational Workflow for Efficient Generation of Polymer Data H Tran, H Sahu, BG Del Rio, D Kamal, C Kim, R Ramprasad 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Charge Injection at Metal-Polymer Interfaces a First-Principles Study D Kamal, L Chen, Z Li, S Nasreen, Y Cao, R Ramprasad Electrochemical Society Meeting Abstracts 236, 874-874, 2019 | | 2019 |
| A charge density prediction model for organic molecules using Deep Neural Networks D Kamal, A Chandrashekaran, R Ramprasad APS March Meeting Abstracts 2019, B55. 005, 2019 | | 2019 |
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