I published a data brief in collaboration with some folks at CSET@Georgetown on how AI is changing the way we do science.
I also published a policy proposal with the DayOneProject outlining how the Biden Administration can modernize and decarbonize our power grid.
You can find a complete list of my articles on my Google Scholar profile
This is a curated list of my publications:
Published in Cell Reports Physical Science, 2020
We use decision trees and random forests to achieve interpretable inverse design of particles Read more
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Published in Materials and Design, 2020
Convolutional Neural Networks are applied to predict the stress-strain curves of binary composites Read more
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Published in 2017 North American Power Symposium, 2017
We use a simple heuristic coupled with gradient descent to obtain extremely fast optimal siting of distributed PV in a power grid. Read more
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