| Interpretable deep learning for guided microstructure-property explorations in photovoltaics BSS Pokuri, S Ghosal, A Kokate, S Sarkar, B Ganapathysubramanian npj Computational Materials 5 (1), 95, 2019 | 61 | 2019 |
| Automated, high throughput exploration of process–structure–property relationships using the mapreduce paradigm O Wodo, J Zola, BSS Pokuri, P Du, B Ganapathysubramanian Materials discovery 1, 21-28, 2015 | 48 | 2015 |
| Fast inverse design of microstructures via generative invariance networks XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ... Nature Computational Science 1 (3), 229-238, 2021 | 40 | 2021 |
| Nanoscale Morphology of Doctor Bladed versus Spin‐Coated Organic Photovoltaic Films BSS Pokuri, J Sit, O Wodo, D Baran, T Ameri, CJ Brabec, AJ Moule, ... Advanced Energy Materials 7 (22), 1701269, 2017 | 36 | 2017 |
| Encoding invariances in deep generative models V Shah, A Joshi, S Ghosal, B Pokuri, S Sarkar, B Ganapathysubramanian, ... arXiv preprint arXiv:1906.01626, 2019 | 35 | 2019 |
| Physics-aware deep generative models for creating synthetic microstructures R Singh, V Shah, B Pokuri, S Sarkar, B Ganapathysubramanian, C Hegde arXiv preprint arXiv:1811.09669, 2018 | 32 | 2018 |
| Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches V Bhat, P Sornberger, BSS Pokuri, R Duke, B Ganapathysubramanian, ... Chemical Science 14 (1), 203-213, 2023 | 24 | 2023 |
| InvNet: Encoding geometric and statistical invariances in deep generative models A Joshi, M Cho, V Shah, B Pokuri, S Sarkar, B Ganapathysubramanian, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4377-4384, 2020 | 19 | 2020 |
| Morphological consequences of ligand exchange in quantum dot-Polymer solar cells RT Hickey, E Jedlicka, BSS Pokuri, AE Colbert, ZI Bedolla-Valdez, ... Organic Electronics 54, 119-125, 2018 | 16 | 2018 |
| Process optimization for microstructure-dependent properties in thin film organic electronics S Pfeifer, BSS Pokuri, P Du, B Ganapathysubramanian Materials Discovery 11, 6-13, 2018 | 15 | 2018 |
| Algorithm 1025: PARyOpt: A Software for Parallel Asynchronous Remote Bayesian Optimization BSS Pokuri, A Lofquist, C Risko, B Ganapathysubramanian ACM Transactions on Mathematical Software (TOMS) 48 (2), 1-15, 2022 | 13* | 2022 |
| A graph based approach to model charge transport in semiconducting polymers R Noruzi, E Lim, BSS Pokuri, ML Chabinyc, B Ganapathysubramanian npj Computational Materials 8 (1), 38, 2022 | 9 | 2022 |
| Morphology control in polymer blend fibers—a high throughput computing approach BSS Pokuri, B Ganapathysubramanian Modelling and Simulation in Materials Science and Engineering 24 (6), 065012, 2016 | 9 | 2016 |
| 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 | 7 | 2022 |
| Determination of the free energies of mixing of organic solutions through a combined molecular dynamics and Bayesian statistics approach S Li, BSS Pokuri, SM Ryno, A Nkansah, C De’Vine, ... Journal of Chemical Information and Modeling 60 (3), 1424-1431, 2020 | 7 | 2020 |
| Generative models for solving nonlinear partial differential equations A Joshi, V Shah, S Ghosal, B Pokuri, S Sarkar, B Ganapathysubramanian, ... Proc. of NeurIPS Workshop on ML for Physics, 2019 | 7 | 2019 |
| Interpretable deep learning for guided structure-property explorations in photovoltaics BSS Pokuri, S Ghosal, A Kokate, B Ganapathysubramanian, S Sarkar arXiv preprint arXiv:1811.06067, 2018 | 5 | 2018 |
| Physics-Aware Deep Generative Models for Creating Synthetic Microstructures (2018) R Singh, V Shah, B Pokuri, S Sarkar, B Ganapathysubramanian, C Hegde arXiv preprint arXiv:1811.09669, 2018 | 5 | 2018 |
| GRATE: A framework and software for GRaph based Analysis of Transmission Electron Microscopy images of polymer films BSS Pokuri, J Stimes, K O’Hara, ML Chabinyc, B Ganapathysubramanian Computational Materials Science 163, 1-10, 2019 | 4 | 2019 |
| Generative design of material microstructures for organic solar cells using diffusion models E Herron, XY Lee, A Balu, BSS Pokuri, B Ganapathysubramanian, ... AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022 | 3 | 2022 |
Baskar GanapathysubramanianNSF/USDA AI Institute, Iowa State UniversityVerified email at iastate.edu
