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Generative Modeling for Atmospheric Convection
To improve climate modeling, we need a better understanding of multi-sca...
07/03/2020 ∙ by Griffin Mooers, et al. ∙
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Towards Physically-consistent, Data-driven Models of Convection
Data-driven algorithms, in particular neural networks, can emulate the e...
02/20/2020 ∙ by Tom Beucler, et al. ∙
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Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling
Artificial neural-networks have the potential to emulate cloud processes...
06/15/2019 ∙ by Tom Beucler, et al. ∙
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Plan Interdiction Games
We propose a framework for cyber risk assessment and mitigation which mo...
11/15/2018 ∙ by Yevgeniy Vorobeychik, et al. ∙
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Development of a Burst Buffer System for Data-Intensive Applications
Modern parallel filesystems such as Lustre are designed to provide high,...
05/07/2015 ∙ by Teng Wang, et al. ∙
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