34 citations · 91 across the 15 of their papers we have counts for
4 papers · 1 filter
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang, Sean Treichler, Thorsten Kurth +8
Uncertainty quantification for forward and inverse problems is a central challenge across physical and biomedical disciplines. We address this challenge for the problem of modeling…
Discrete-element model for the interaction between ocean waves and sea ice
Zhijie Xu, Alexandre M. Tartakovsky, Wenxiao Pan
We present a discrete element method (DEM) model to simulate the mechanical behavior of sea ice in response to ocean waves. The interaction of ocean waves and sea ice can potential…
A dissipative particle dynamics model of biofilm growth
Zhijie Xu, Paul Meakin, Alexandre Tartakovsky +1
A dissipative particle dynamics (DPD) model for the quantitative simulation of biofilm growth controlled by substrate (nutrient) consumption, advective and diffusive substrate tran…
A diffuse-interface model for smoothed particle hydrodynamics
Zhijie Xu, Paul Meakin, Alexandre Tartakovsky
Diffuse-interface theory provides a foundation for the modeling and simulation of microstructure evolution in a very wide range of materials, and for the tracking/capturing of dyna…