11 citations · 26 across the 31 of their papers we have counts for
8 papers · 1 filter
Shape optimization of peristaltic pumps transporting rigid particles in Stokes flow
Marc Bonnet, Ruowen Liu, Shravan Veerapaneni +1
This paper presents a computational approach for finding the optimal shapes of peristaltic pumps transporting rigid particles in Stokes flow. In particular, we consider shapes that…
A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations
Yabin Zhang, Adrianna Gillman, Shravan Veerapaneni
In transient simulations of particulate Stokes flow, to accurately capture the interaction between the constituent particles and the confining wall, the discretization of the wall…
Continuous-variable optimization with neural network quantum states
Yabin Zhang, David Gorsich, Paramsothy Jayakumar +1
Inspired by proposals for continuous-variable quantum approximate optimization (CV-QAOA), we investigate the utility of continuous-variable neural network quantum states (CV-NQS) f…
Continuous-variable neural-network quantum states and the quantum rotor model
James Stokes, Saibal De, Shravan Veerapaneni +1
We initiate the study of neural-network quantum state algorithms for analyzing continuous-variable lattice quantum systems in first quantization. A simple family of continuous-vari…
Overcoming barriers to scalability in variational quantum Monte Carlo
Tianchen Zhao, Saibal De, Brian Chen +2
The variational quantum Monte Carlo (VQMC) method received significant attention in the recent past because of its ability to overcome the curse of dimensionality inherent in many-…
High-order close evaluation of Laplace layer potentials: A differential geometric approach
Hai Zhu, Shravan Veerapaneni
This paper presents a new approach for solving the close evaluation problem in three dimensions, commonly encountered while solving linear elliptic partial differential equations v…