Rampi Ramprasad
Affiliations: | Chemical Materials and Biomolecular Engineering | University of Connecticut, Storrs, CT, United States |
Area:
Materials Science Engineering, Solid State Physics, Physical ChemistryGoogle:
"Rampi Ramprasad"Children
Sign in to add traineeGhanshyam Pilania | grad student | 2012 | University of Connecticut |
Arun Kunmar Mannodi-Kannakithodi | grad student | 2012-2017 | University of Connecticut (Chemistry Tree) |
Deepak Kamal | grad student | 2016-2021 | Georgia Tech |
Abhirup Patra | post-doc | Georgia Tech (Physics Tree) |
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Publications
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Alamri A, Wu C, Nasreen S, et al. (2022) High dielectric constant and high breakdown strength polyimide tin complexation of the polyamide acid precursor. Rsc Advances. 12: 9095-9100 |
Linker T, Wang Y, Mishra A, et al. (2021) Deep Well Trapping of Hot Carriers in a Hexagonal Boron Nitride Coating of Polymer Dielectrics. Acs Applied Materials & Interfaces |
Wang Y, Nasreen S, Kamal D, et al. (2021) Tuning Surface States of Metal/Polymer Contacts Toward Highly Insulating Polymer-Based Dielectrics. Acs Applied Materials & Interfaces |
Wu C, Chen L, Deshmukh A, et al. (2021) Dielectric Polymers Tolerant to Electric Field and Temperature Extremes: Integration of Phenomenology, Informatics, and Experimental Validation. Acs Applied Materials & Interfaces |
Kamal D, Tran H, Kim C, et al. (2021) Novel high voltage polymer insulators using computational and data-driven techniques. The Journal of Chemical Physics. 154: 174906 |
Batra R, Chan H, Kamath G, et al. (2020) Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies. The Journal of Physical Chemistry Letters |
Kamal D, Wang Y, Tran HD, et al. (2020) Computable Bulk and Interfacial Electronic Structure Features as Proxies for Dielectric Breakdown of Polymers. Acs Applied Materials & Interfaces |
Huan TD, Ramprasad R. (2020) Polymer Structure Prediction from First Principles. The Journal of Physical Chemistry Letters. 5823-5829 |
Venkatram S, Batra R, Chen L, et al. (2020) Predicting Crystallization Tendency of Polymers using Multi-fidelity Information Fusion and Machine Learning. The Journal of Physical Chemistry. B |
Chapman J, Ramprasad R. (2020) Predicting the dynamic behavior of the mechanical properties of platinum with machine learning. The Journal of Chemical Physics. 152: 224709 |