96 citations · 150 across the 17 of their papers we have counts for
4 papers · 1 filter
Unsupervised simulation of incompressible flows with physics- and equality- constrained artificial neural networks
Qifeng Hu, Inanc Senocak
Physics-informed neural networks (PINNs) have shown promise for solving partial differential equations, yet their success in simulating incompressible flows at high Reynolds number…
Long-lived versus nocturnal stable atmospheric boundary layers: DNS characterisation, similarity theory, and regime classification
K. Chand, Cheng-Nian Xiao, Inanc Senocak
The stable atmospheric boundary layer (SABL) is broadly classified into two subtypes: the nocturnal SABL, driven primarily by surface cooling, and the long-lived SABL, in which amb…
Conditionally adaptive augmented Lagrangian method for physics-informed learning of forward and inverse problems
Qifeng Hu, Shamsulhaq Basir, Inanc Senocak
We present several key advances to the Physics and Equality Constrained Artificial Neural Networks (PECANN) framework, substantially improving its capacity to solve challenging par…
Dynamical stability and flow regimes in a stably stratified valley-shaped cavity heated from below
Patrick J. Stofanak, Cheng-Nian Xiao, Inanc Senocak
We investigate the three-dimensional stability of a stably stratified fluid in a valley-shaped cavity heated from below using linear stability analysis and direct numerical simulat…