S. Venkatram

Solvent selection for polymers enabled by generalized chemical fingerprinting and machine learning.

Blair K. Brettmann, R. Ramprasad, Joseph Kern, 2022, Physical chemistry chemical physics : PCCP.

Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers

Rampi Ramprasad, Chiho Kim, Anand Chandrasekaran, 2019, J. Chem. Inf. Model..

Machine-learning predictions of polymer properties with Polymer Genome

Lihua Chen, Rampi Ramprasad, Anand Chandrasekaran, 2020, Journal of Applied Physics.

Predicting Crystallization Tendency of Polymers using Multi-fidelity Information Fusion and Machine Learning.

Rohit Batra, Lihua Chen, Chiho Kim, 2020, The journal of physical chemistry. B.

Effect of Crystallinity on Li Adsorption in Polyethylene Oxide

Rampi Ramprasad, Anand Chandrasekaran, Shruti Venkatram, 2018, Chemistry of Materials.

A Deep Learning Solvent-Selection Paradigm Powered by a Massive Solvent/Nonsolvent Database for Polymers

Chiho Kim, Rampi Ramprasad, Anand Chandrasekaran, 2020 .

Electrochemical Stability Window of Polymeric Electrolytes

Chiho Kim, Rampi Ramprasad, Rohit Batra, 2019, Chemistry of Materials.

In silico active learning for small molecule properties

Jeffrey M. Ting, B. Blaiszik, J. D. de Pablo, 2022, Molecular Systems Design & Engineering.

Conductivity prediction model for ionic liquids using machine learning.

R. Ramprasad, S. Venkatram, R. Datta, 2022, Journal of Chemical Physics.