Invertible Neural Networks are used to generate gas turbine combustor designs that meet specified performance criteria from a training database of parameterized designs and simulations.
Devel- opment of a Fuel Flexible H2-Natural Gas Gas Turbine Combustion Technology Platform
2 Pith papers cite this work. Polarity classification is still indexing.
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FLAMINGO data release provides public access to >2.3 PB of hydrodynamical and gravity-only simulation outputs including snapshots, halo/galaxy catalogues, lightcone maps, and power spectra across multiple resolutions and parameter variations.
citing papers explorer
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Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
Invertible Neural Networks are used to generate gas turbine combustor designs that meet specified performance criteria from a training database of parameterized designs and simulations.
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The FLAMINGO simulations data release
FLAMINGO data release provides public access to >2.3 PB of hydrodynamical and gravity-only simulation outputs including snapshots, halo/galaxy catalogues, lightcone maps, and power spectra across multiple resolutions and parameter variations.