| Elasticity and size effects on the electrochemical response of a graphite, li-ion battery electrode particle N Swaminathan, S Balakrishnan, K George Journal of The Electrochemical Society 163 (3), A488, 2015 | 28 | 2015 |
| Releasing chemical energy in spatially programmed ferroelectrics Y Hu, JL Gottfried, R Pesce-Rodriguez, CC Wu, SD Walck, Z Liu, ... Nature Communications 13 (1), 6959, 2022 | 10 | 2022 |
| Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved S Balakrishnan, FG VanGessel, Z Boukouvalas, BC Barnes, MD Fuge, ... Molecular Informatics 40 (7), 2100011, 2021 | 9 | 2021 |
| Multi-fidelity machine learning models for structure–property mapping of organic electronics CH Yang, BSS Pokuri, XY Lee, S Balakrishnan, C Hegde, S Sarkar, ... Computational Materials Science 213, 111599, 2022 | 5 | 2022 |
| A Machine Learning Framework to Predict Unreacted Shock Compression Response of Solids Under Scarce Data S BALAKRISHNAN, F VanGessel, B Barnes, Z Boukouvalas, M Fuge, ... Bulletin of the American Physical Society 68, 2023 | | 2023 |
| Machine learning for shock compression of solids using scarce data S Balakrishnan, FG VanGessel, BC Barnes, RM Doherty, WH Wilson, ... Journal of Applied Physics 133 (15), 2023 | | 2023 |
| Jointly Embedded Machine Learning Approach for Polymer Combustion Properties J Hearn, S Balakrishnan, F Vangessel, B Barnes, I Michel-Tyler, ... APS Shock Compression of Condensed Matter Meeting Abstracts, G00. 021, 2022 | | 2022 |
| Ameliorating synthesis and scarce data challenges through joint embedding for high energy molecule generation S Balakrishnan, F Vangessel, Z Boukouvalas, B Barnes, M Fuge, ... APS Shock Compression of Condensed Matter Meeting Abstracts, U03. 005, 2022 | | 2022 |
| Data efficient assimilation of multi fidelity information S Balakrishnan Iowa State University, 2020 | | 2020 |
