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Balaji S Sarath Pokuri
Balaji S Sarath Pokuri
iastate.edu의 이메일 확인됨
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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
592019
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
462015
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
372021
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
362017
Encoding invariances in deep generative models
V Shah, A Joshi, S Ghosal, B Pokuri, S Sarkar, B Ganapathysubramanian, ...
arXiv preprint arXiv:1906.01626, 2019
302019
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
302018
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
172020
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
162018
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
142018
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
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
122023
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
92022
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
92016
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
72020
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
72019
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
62022
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
52018
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
52018
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
42019
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
22022
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