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08/08/2023
Constructing Custom Thermodynamics Using Deep Learning
One of the most exciting applications of AI is automated scientific disc...
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11/25/2022
On the Universal Approximation Property of Deep Fully Convolutional Neural Networks
We study the approximation of shift-invariant or equivariant functions b...
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09/06/2020
OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle
We propose a systematic method for learning stable and interpretable dyn...
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05/15/2020
Inverse design of crystals using generalized invertible crystallographic representation
Deep learning has fostered many novel applications in materials informat...
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12/22/2019
Deep Learning via Dynamical Systems: An Approximation Perspective
We build on the dynamical systems approach to deep learning, where deep ...
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06/14/2019
Computing Committor Functions for the Study of Rare Events Using Deep Learning
The committor function is a central object of study in understanding tra...
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07/03/2018
