471 citations
- National Institute of Standards and TechnologyUS3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- Georgia Institute of TechnologyUS2 papers
- Indian Institute of Technology BombayIN2 papers
- Indian Institute of Technology KanpurIN2 papers
- Iowa State UniversityUS2 papers
- National Center for Supercomputing ApplicationsUS2 papers
- Rutgers, The State University of New JerseyUS2 papers
- University of California, Los AngelesUS2 papers
- University of California San DiegoUS2 papers
- University of Colorado BoulderUS2 papers
- Aix-Marseille UniversitéFR1 paper
36 papers
Variable-property and intrinsic compressibility corrections for turbulence models using near-wall scaling theories
Asif Manzoor Hasan, Alex Jose Elias, Florian Menter +1
We introduce a novel approach to derive compressibility corrections for Reynolds-averaged Navier-Stokes (RANS) models. Using this approach, we derive variable-property corrections…
Physics-informed active learning with simultaneous weak-form latent space dynamics identification
Xiaolong He, April Tran, David M. Bortz +1
The parametric greedy latent space dynamics identification (gLaSDI) framework has demonstrated promising potential for accurate and efficient modeling of high-dimensional nonlinear…
How Do Developers Structure Unit Test Cases? An Empirical Study from the "AAA" Perspective
Chenhao Wei, Lu Xiao, Tingting Yu +2
The AAA pattern, i.e. arrange, act, and assert, provides a unified structure for unit test cases, which benefits comprehension and maintenance. However, there is little understandi…
Fast meta-solvers for 3D complex-shape scatterers using neural operators trained on a non-scattering problem
Youngkyu Lee, Shanqing Liu, Zongren Zou +5
Three-dimensional target identification using scattering techniques requires high accuracy solutions and very fast computations for real-time predictions in some critical applicati…
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
Junyan He, Seid Koric, Diab Abueidda +2
Modern digital engineering design process commonly involves expensive repeated simulations on varying three-dimensional (3D) geometries. The efficient prediction capability of neur…
Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
Junyan He, Deepankar Pal, Ali Najafi +3
Crystal plasticity (CP) simulations are a tool for understanding how microstructure morphology and texture affect mechanical properties and are an essential component of elucidatin…