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01/11/2023
Accelerating large-eddy simulations of clouds with Tensor Processing Units
Clouds, especially low clouds, are crucial for regulating Earth's energy...
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10/28/2022
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior
The increasing incidence and severity of wildfires underscores the neces...
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07/25/2022
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
In general, large datasets enable deep learning models to perform with g...
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12/04/2021
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Predicting wildfire spread is critical for land management and disaster ...
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08/25/2021
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units
A computational fluid dynamics (CFD) simulation framework for predicting...
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03/11/2021
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
Many practical combustion systems such as those in rockets, gas turbines...
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12/11/2020
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
As the climate changes, the severity of wildland fires is expected to wo...
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10/15/2020
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Identifying regions that have high likelihood for wildfires is a key com...
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09/08/2020