Balaji Sesha Sarath Pokuri

Interpretable deep learning for guided microstructure-property explorations in photovoltaics

Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate et al. · npj Computational Materials · 2019 · 76 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +4

Fast inverse design of microstructures via generative invariance networks

Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang et al. · Nature Computational Science · 2021 · 47 citations

Geometric Modeling, Fast Inverse Design, Geometric Learning +6

Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

Vinayak Bhat, Parker Sornberger, Balaji Sesha Sarath Pokuri et al. · Chemical Science · 2022 · 37 citations · Full text

Engineering, Machine Learning, π-Conjugated Molecules +21

Automated, high throughput exploration of process–structure–property relationships using the MapReduce paradigm

Olga Wodo, Balaji Sesha Sarath Pokuri, Pengfei Du et al. · Materials Discovery · 2015 · 34 citations

Engineering, Data Science, High Throughput Exploration +15

Nanoscale Morphology of Doctor Bladed versus Spin‐Coated Organic Photovoltaic Films

Balaji Sesha Sarath Pokuri, Joseph Sit, Olga Wodo et al. · Advanced Energy Materials · 2017 · 32 citations

Engineering, Organic Electronics, Organic Solar Cell +20