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Value-Added Chemical Discovery Using Reinforcement Learning
Computer-assisted synthesis planning aims to help chemists find better r...
11/10/2019 ∙ by Peihong Jiang, et al. ∙
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Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images
Strong gravitational lensing of astrophysical sources by foreground gala...
11/10/2019 ∙ by Sandeep Madireddy, et al. ∙
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Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models
Rapid simulations of advection-dominated problems are vital for multiple...
09/18/2019 ∙ by Romit Maulik, et al. ∙
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Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning
The ability to learn and adapt in real time is a central feature of biol...
06/04/2019 ∙ by Sandeep Madireddy, et al. ∙
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