| Experimental characterization of the mechanical properties of 3D-printed ABS and polycarbonate parts JT Cantrell, S Rohde, D Damiani, R Gurnani, L DiSandro, J Anton, ... Rapid Prototyping Journal 23 (4), 811-824, 2017 | 659 | 2017 |
| 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 | 159 | 2020 |
| Experimental characterization of the shear properties of 3D–printed ABS and polycarbonate parts S Rohde, J Cantrell, A Jerez, C Kroese, D Damiani, R Gurnani, ... Experimental Mechanics 58, 871-884, 2018 | 88 | 2018 |
| Interpretable machine learning-based predictions of methane uptake isotherms in metal–organic frameworks R Gurnani, Z Yu, C Kim, DS Sholl, R Ramprasad Chemistry of Materials 33 (10), 3543-3552, 2021 | 42 | 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 | 37 | 2021 |
| Polymer informatics at scale with multitask graph neural networks R Gurnani, C Kuenneth, A Toland, R Ramprasad Chemistry of Materials 35 (4), 1560-1567, 2023 | 23 | 2023 |
| Advancement of optical methods in Experimental Mechanics J Cantrell, S Rohde, D Damiani, R Gurnani, L Disandro, J Anton, A Young, ... Proceedings of the 2016 Annual Conference on Experimental and Applied …, 2017 | 21 | 2017 |
| P. Ifju Experimental characterization of the mechanical properties of 3D printed ABS and polycarbonate parts S. Yoshida, L. Lamberti, C. Sciammarella (Eds.), Advancement of … J Cantrell, S Rohde, D Damiani, R Gurnani, L DiSandro, J Anton, A Young, ... Springer, Cham, 2017 | 8 | 2017 |
| Experimental Characterization of the Mechanical Properties of 3D-Printed ABS J Cantrell, S Rohde, D Damiani, R Gurnani, L DiSandro, J Anton, A Young, ... | 4 | 2016 |
| Identifying High-Performance Metal–Organic Frameworks for Low-Temperature Oxygen Recovery from Helium by Computational Screening S Jamdade, R Gurnani, H Fang, SE Boulfelfel, R Ramprasad, DS Sholl Industrial & Engineering Chemistry Research 62 (4), 1927-1935, 2023 | 3 | 2023 |
| Effect of Fluorine in Redesigning Energy-Storage Properties of High-Temperature Dielectric Polymers AA Deshmukh, C Wu, O Yassin, L Chen, S Shukla, J Zhou, AR Khomane, ... ACS Applied Materials & Interfaces 15 (40), 46840-46848, 2023 | 2 | 2023 |
| AI-assisted discovery of high-temperature dielectrics for energy storage R Gurnani, S Shukla, D Kamal, C Wu, J Hao, C Kuenneth, P Aklujkar, ... Nature Communications 15 (1), 6107, 2024 | | 2024 |
| Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning BK Phan, KH Shen, R Gurnani, H Tran, R Lively, R Ramprasad arXiv preprint arXiv:2406.14809, 2024 | | 2024 |
| Polymer designs for high energy density applications with high dielectric strength and dielectric constant at high temperature R Ramprasad, R Gurnani US Patent App. 18/513,017, 2024 | | 2024 |
| Pendant Group Functionalization of Cyclic Olefin for High Temperature and High‐Density Energy Storage S Shukla, C Wu, A Mishra, J Pan, AP Charnay, A Khomane, A Deshmukh, ... Advanced Materials, 2402133, 2024 | | 2024 |
| 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 |
