Former Researcher, Mechanical Engineering
- Department of Mechanical Engineering, Iowa State University
Balaji S Sarath Pokuri worked with the lab from the Department of Mechanical Engineering at Iowa State University. His interests spanned phase-field modeling, high-performance computing (HPC), the finite element method (FEM), and machine learning, particularly deep learning.
Research interests: Phase-field modeling, high-performance computing (HPC), finite element method (FEM), machine learning, deep learning
Publications with the lab (10)
- Multi-fidelity machine learning models for structure–property mapping of organic electronics — Computational Materials Science (2022)
- Generative design of material microstructures for organic solar cells using diffusion models — AI for Accelerated Materials Design NeurIPS 2022 Workshop (2022)
- Fast inverse design of microstructures via generative invariance networks — Nature Computational Science (2021)
Show all 10
- Inverse design of microstructures via generative networks for organic solar cells — AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM) (2021)
- InvNet: encoding geometric and statistical invariances in deep generative models — Proceedings of the AAAI Conference on Artificial Intelligence (2020)
- Encoding Invariances in Deep Generative Models — arXiv preprint arXiv:1906.01626 (2019)
- Generative models for solving nonlinear partial differential equations — Proc. of NeurIPS Workshop on ML for Physics (2019)
- Binary 2d morphologies of polymer phase separation: Dataset and python toolbox — (2019)
- Interpretable deep learning for guided microstructure-property explorations in photovoltaics — npj Computational Materials (2019)
- Physics-aware deep generative models for creating synthetic microstructures — arXiv preprint arXiv:1811.09669 (2018)