151 citations · 537 across the 31 of their papers we have counts for
5 papers · 1 filter
Requirements Towards Predictive Simulations of Turbulent Reacting Flows
Matthias Ihme
Significant progress has been made on the model development for simulating turbulent reacting flows. As a consequence, we are currently in a position where key-physical aspects of…
A General Drag Coefficient for Flow over a Sphere
Narendra Singh, Michael Kroells, Chenxi Li +4
A generalized physics-based expression for the drag coefficient of spherical particles moving in a fluid is derived. The proposed correlation incorporates essential rarefied physic…
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
John Burge, Matthew Bonanni, Matthias Ihme +1
As the climate changes, the severity of wildland fires is expected to worsen. Models that accurately capture fire propagation dynamics greatly help efforts for understanding, respo…
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Fantine Huot, R. Lily Hu, Matthias Ihme +6
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness. We create a data set by aggregating nearly…
Data-assisted combustion simulations with dynamic submodel assignment using random forests
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis +1
In this investigation, we outline a data-assisted approach that employs random forest classifiers for local and dynamic combustion submodel assignment in turbulent-combustion simul…