Vikram Jadhao

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

Vikram Jadhao, JCS Kadupitiya, J. Kadupitiya, 2020, 2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC).

Machine learning for parameter auto-tuning in molecular dynamics simulations: Efficient dynamics of ions near polarizable nanoparticles

Geoffrey C. Fox, Vikram Jadhao, JCS Kadupitiya, 2019, Int. J. High Perform. Comput. Appl..

Deep Learning Based Integrators for Solving Newton's Equations with Large Timesteps

Geoffrey C. Fox, Vikram Jadhao, JCS Kadupitiya, 2020 .

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation

Geoffrey C. Fox, Judy Qiu, Shantenu Jha, 2019, 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Machine learning surrogates for molecular dynamics simulations of soft materials

Geoffrey C. Fox, Vikram Jadhao, J. C. S. Kadupitiya, 2020, J. Comput. Sci..

Machine Learning for Performance Enhancement of Molecular Dynamics Simulations

Geoffrey C. Fox, Vikram Jadhao, JCS Kadupitiya, 2019, ICCS.

Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks pdf

Geoffrey C. Fox, Vikram Jadhao, JCS Kadupitiya, 2020, ArXiv.

Modeling Constrained Preemption Dynamics Of Transient Cloud Servers pdf

Prateek Sharma, Vikram Jadhao, JCS Kadupitiya, 2019, ArXiv.

Iterative Monte Carlo path integral with optimal grids from whole-necklace sampling.

Nancy Makri, Vikram Jadhao, N. Makri, 2010, The Journal of chemical physics.