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Baskar Ganapathysubramanian

Researcher at Iowa State University

Publications -  262
Citations -  6876

Baskar Ganapathysubramanian is an academic researcher from Iowa State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 34, co-authored 221 publications receiving 4808 citations. Previous affiliations of Baskar Ganapathysubramanian include Cornell University.

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An optimization approach to identify processing pathways for achieving tailored thin film morphologies

TL;DR: This work integrates a morphology evolution framework (based on a phase-field model) with a heuristic optimization scheme to systematically identify promising processing conditions and shows how annealing time and substrate patterning can be simultaneously tuned to achieve a variety of tailored microstructures.
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Sensitivity analysis of current generation in organic solar cells—comparing bilayer, sawtooth, and bulk heterojunction morphologies

TL;DR: In this article, a comprehensive sensitivity analysis of the short-circuit current, Jsc, to the input parameters is performed, and the results show significant differences in sensitivities between BHJ, sawtooth, and bilayer morphologies.
Posted Content

PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization

TL;DR: This work formulate, develop and implement a parallel, asynchronous variant of Bayesian optimization, which is robust and resilient to external failures, and shows how such asynchronous evaluations help reduce the total optimization wall clock time for a suite of test problems.
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A finite element approach to self-consistent field theory calculations of multiblock polymers

TL;DR: A finite element formulation of the SCFT paradigm for calculating equilibrium polymer morphologies is developed and discussed, which is highly scalable and suitable for systems with arbitrary shapes.
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Leaf Angle eXtractor: A high-throughput image processing framework for leaf angle measurements in maize and sorghum

TL;DR: A MATLAB‐based image processing framework, Leaf Angle eXtractor (LAX), was developed to extract and quantify leaf angles from images of maize and sorghum plants under drought conditions and showed differences in leaf responses to drought in maize and Sorghum.