9 citations · 35 across the 28 of their papers we have counts for
4 papers · 1 filter
Differentiable programming for inverse estimation of soil permeability and design of duct banks
Anusha Vajapeyajula, Krishna Kumar
Underground duct banks carrying power cables dissipate heat to the surrounding soil. The amount of heat dissipated determines the current rating of cables, which in turn affects th…
Three-dimensional granular flow simulation using graph neural network-based learned simulator
Yongjin Choi, Krishna Kumar
Reliable evaluations of geotechnical hazards like landslides and debris flow require accurate simulation of granular flow dynamics. Traditional numerical methods can simulate the c…
An inverse analysis of fluid flow through granular media using differentiable lattice Boltzmann method
Qiuyu Wang, Krishna Kumar
Inverse modeling of fluid flow through porous soils and reservoir rocks enables accurate determination of permeability and seepage properties critical for applications such as cont…
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems
Krishna Kumar, Yongjin Choi
We leverage physics-embedded differentiable graph network simulators (GNS) to accelerate particulate and fluid simulations to solve forward and inverse problems. GNS represents the…