96 citations · 150 across the 17 of their papers we have counts for
19 papers
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…
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks
Qifeng Hu, Shamsulhaq Basir, Inanc Senocak
We present a non-overlapping, Schwarz-type domain decomposition method with a generalized interface condition, designed for physics-informed machine learning of partial differentia…
Self-organization in a stably stratified, valley-shaped enclosure heated from below
Patrick J. Stofanak, Cheng-Nian Xiao, Inanc Senocak
We observe the spontaneous onset of three-dimensional motion from a quiescent, purely conductive state of a stably stratified fluid in a V-shaped enclosure heated from below, which…
A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks
Shamsulhaq Basir, Inanc Senocak
We present a meshless Schwarz-type non-overlapping domain decomposition method based on artificial neural networks for solving forward and inverse problems involving partial differ…
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks
Shamsulhaq Basir, Inanc Senocak
Physics and equality constrained artificial neural networks (PECANN) are grounded in methods of constrained optimization to properly constrain the solution of partial differential…
Instabilities of longitudinal vortex rolls in katabatic Prandtl slope flows
Chengnian Xiao, Inanc Senocak
Stationary counter-rotating longitudinal vortex pairs emerge from one-dimensional Prandtl slope flows under katabatic as well as anabatic conditions due to a linear instability whe…
An unusual bifurcation scenario in a stably stratified, valley-shaped enclosure heated from below
Patrick J. Stofanak, Cheng-Nian Xiao, Inanc Senocak
We delineate the structure of steady laminar flows within a stably stratified, valley-shaped triangular cavity heated from below through linear stability analysis and Navier-Stokes…
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…
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…
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…
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion
Shamsulhaq Basir, Inanc Senocak
Physics-informed neural networks (PINNs) have been proposed to learn the solution of partial differential equations (PDE). In PINNs, the residual form of the PDE of interest and it…
Impact of stratification mechanisms on turbulent characteristics of stable open-channel flows
Cheng-Nian Xiao, Inanc Senocak
Flow over a surface can be stratified by imposing a fixed mean vertical temperature (density) gradient profile throughout or via cooling at the surface. These distinct mechanisms c…
Linear Stability of Katabatic Slope Flows with Ambient Wind Forcing
Cheng-Nian Xiao, Inanc Senocak
We investigate the stability of katabatic slope flows over an infinitely wide and uniformly cooled planar surface subject to an additional forcing due to a uniform downslope wind f…
PittPack: An Open-Source Poisson's Equation Solver for Extreme-Scale Computing with Accelerators
Jaber J. Hasbestan, Inanc Senocak
We present a parallel implementation of a direct solver for the Poisson's equation on extreme-scale supercomputers with accelerators. We introduce a chunked-pencil decomposition as…
The role of bulk eddy-viscosity variation on the log-layer mismatch observed in wall-modeled large-eddy simulations
Rey DeLeon, Inanc Senocak
We investigate the role of the bulk eddy-viscosity variation on the well-known log-layer mismatch problem. An analysis of the mean momentum-balance shows that the modeled stress te…
Binarized octree generation for Cartesian adaptive mesh refinement around immersed geometries
Jaber J. Hasbestan, Inanc Senocak
We revisit the generation of balanced octrees for adaptive mesh refinement (AMR) of Cartesian domains with immersed complex geometries. In a recent short note [Hasbestan and Senoca…