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20182026
most citedLearning Constitutive Relations from Indirect Observations Using Deep Neural Networks

182 citations · 462 across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CE2019★ 1 cited

Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing

Daniel Z. Huang, Philip Avery, Charbel Farhat +3

A high fidelity multi-physics Eulerian computational framework is presented for the simulation of supersonic parachute inflation during Mars landing. Unlike previous investigations…

math.NA2019★ 16 cited

High-order partitioned spectral deferred correction solvers for multiphysics problems

Daniel Z. Huang, Will Pazner, Per-Olof Persson +1

We present an arbitrarily high-order, conditionally stable, partitioned spectral deferred correction (SDC) method for solving multiphysics problems using a sequence of pre-existing…

cs.CE2019★ 1 cited

An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction

Daniel Z. Huang, Philip Avery, Charbel Farhat

Cable subsystems characterized by long, slender, and flexible structural elements are featured in numerous engineering systems. In each of them, interaction between an individual c…

physics.flu-dyn2019

Homogenized Flux-Body Force Treatment of Compressible Viscous Porous Wall Boundary Conditions

Daniel Z. Huang, Man Long Wong, Sanjiva K. Lele +1

A homogenization approach is proposed for the treatment of porous wall boundary conditions in the computation of compressible viscous flows. Like any other homogenization approach,…

math.NA2019★ 182 cited

Learning Constitutive Relations from Indirect Observations Using Deep Neural Networks

Daniel Z. Huang, Kailai Xu, Charbel Farhat +1

We present a new approach for predictive modeling and its uncertainty quantification for mechanical systems, where coarse-grained models such as constitutive relations are derived…