151 citations · 537 across the 31 of their papers we have counts for
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Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Fantine Huot, R. Lily Hu, Nita Goyal +3
Predicting wildfire spread is critical for land management and disaster preparedness. To this end, we present `Next Day Wildfire Spread,' a curated, large-scale, multivariate data…
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units
Qing Wang, Matthias Ihme, Yi-Fan Chen +1
A computational fluid dynamics (CFD) simulation framework for fluid-flow prediction is developed on the Tensor Processing Unit (TPU) platform. The TPU architecture is featured with…
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
Many practical combustion systems such as those in rockets, gas turbines, and internal combustion engines operate under high pressures that surpass the thermodynamic critical limit…
Heat transfer augmentation by recombination reactions in turbulent reacting boundary layers at elevated pressures
Nikolaos Perakis, Oskar Haidn, Matthias Ihme
A study of a reacting boundary layer flow with heat transfer at conditions typical for configurations at elevated pressures has been performed using a set of direct numerical simul…