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07/25/2023
Differentiable Turbulence II
Differentiable fluid simulators are increasingly demonstrating value as ...
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07/07/2023
Differentiable Turbulence
Deep learning is increasingly becoming a promising pathway to improving ...
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05/19/2023
Chemellia: An Ecosystem for Atomistic Scientific Machine Learning
Chemellia is an open-source framework for atomistic machine learning in ...
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09/23/2022
Differentiable physics-enabled closure modeling for Burgers' turbulence
Data-driven turbulence modeling is experiencing a surge in interest foll...
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03/07/2022
Score-Based Generative Models for Molecule Generation
Recent advances in generative models have made exploring design spaces e...
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11/23/2021
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
In this work, we introduce a novel workflow that couples robotics to mac...
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09/14/2021
Differentiable Physics: A Position Piece
Differentiable physics provides a new approach for modeling and understa...
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08/18/2020
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning
In this work, we experimentally determined the efficacy of several class...
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08/08/2019
Automation is no barrier to light vehicle electrification
Weight, computational load, sensor load, and possibly higher drag may in...
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11/01/2017
