96 citations · 150 across the 17 of their papers we have counts for
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cs.LG2022★ 2 cited
Characterizing and Mitigating the Difficulty in Training Physics-informed Artificial Neural Networks under Pointwise Constraints
Shamsulhaq Basir, Inanc Senocak
Neural networks can be used to learn the solution of partial differential equations (PDEs) on arbitrary domains without requiring a computational mesh. Common approaches integrate…
cs.LG2022
Critical Investigation of Failure Modes in Physics-informed Neural Networks
Shamsulhaq Basir, Inanc Senocak
Several recent works in scientific machine learning have revived interest in the application of neural networks to partial differential equations (PDEs). A popular approach is to a…
physics.flu-dyn2022★ 5 cited
Speaker-wire vortices in stratified anabatic Prandtl slope flows and their secondary instabilities
Cheng-Nian Xiao, Inanc Senocak
Stationary longitudinal vortical rolls emerge in katabatic and anabatic Prandtl slope flows due to the dominance of the normal component of the buoyancy force over flow shear. Here…