66 citations · 107 across the 5 of their papers we have counts for
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stat.ML2017★ 7 cited
Automated Design using Neural Networks and Gradient Descent
Oliver Hennigh
We propose a novel method that makes use of deep neural networks and gradient decent to perform automated design on complex real world engineering tasks. Our approach works by trai…
stat.ML2017★ 66 cited
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks
Oliver Hennigh
Computational Fluid Dynamics (CFD) is a hugely important subject with applications in almost every engineering field, however, fluid simulations are extremely computationally and m…