most citedMachine Learning for Parameter Auto-tuning in Molecular Dynamics Simulations: Efficient Dynamics of Ions near Polarizable Nanoparticles

2 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cond-mat.soft2020

Ionic Structure and Decay Length in Highly-Concentrated Confined Electrolytes

Nasim Anousheh, Francisco J. Solis, Vikram Jadhao

We use molecular dynamics simulations of the primitive model of electrolytes to study the ionic structure in aqueous monovalent electrolyte solutions confined by charged planar int…

physics.ed-ph2020

Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning

Vikram Jadhao, JCS Kadupitiya

We explore the idea of integrating machine learning (ML) with high performance computing (HPC)-driven simulations to address challenges in using simulations to teach computational…

cond-mat.soft2020

Designing Surface Charge Patterns for Shape Control of Deformable Nanoparticles

Nicholas E. Brunk, JCS Kadupitiya, Vikram Jadhao

Designing reconfigurable materials based on deformable nanoparticles (NPs) hinges on an understanding of the energetically-favored shapes these NPs can adopt. Using simulations, we…

cs.DC2019

Modeling The Temporally Constrained Preemptions of Transient Cloud VMs

JCS Kadupitiya, Vikram Jadhao, Prateek Sharma

Transient cloud servers such as Amazon Spot instances, Google Preemptible VMs, and Azure Low-priority batch VMs, can reduce cloud computing costs by as much as , but can…

physics.comp-ph20192 cited

Machine Learning for Parameter Auto-tuning in Molecular Dynamics Simulations: Efficient Dynamics of Ions near Polarizable Nanoparticles

JCS Kadupitiya, Geoffrey C. Fox, Vikram Jadhao

Simulating the dynamics of ions near polarizable nanoparticles (NPs) using coarse-grained models is extremely challenging due to the need to solve the Poisson equation at every sim…

cond-mat.soft2019

Rheological properties of liquids under conditions of elastohydrodynamic lubrication

Vikram Jadhao, Mark O. Robbins

There is an ongoing debate concerning the best rheological model for liquid flows in elastohydrodynamic lubrication (EHL). Due to the small contact area and high relative velocitie…