Journal Publications and Selected Technical Reports and Conference Proceedings

For full citations, see the CV tab. For a complete publication record, visit my Google Scholar page.

2025

A finite element method to compute the damping rate and frequency of oscillating fluids inside microfluidic nozzles

S. Taverniers, S. Korneev, C. Somarakis, M. Behandish, and A.J. Lew.

2023

A multi-physics compiler for generating numerical solvers from differential equations

J.T. Maxwell III, M. Behandish, and S. Taverniers.

Inverse asymptotic treatment: Capturing discontinuities in fluid flows via equation modification

S. Mirjalili, S. Taverniers, H. Collis, M. Behandish, and A. Mani.

2022

Accelerating part-scale simulation in liquid metal jet additive manufacturing via operator learning

S. Taverniers, S. Korneev, K.M. Pietrzyk, and M. Behandish.

2021

A localized artificial diffusivity approach inspired by TVD schemes and its consistent application to compressible flows

S. Mirjalili, S. Taverniers, H. Collis, M. Behandish, and A. Mani.

Mutual Information for explainable deep learning of multiscale systems

S. Taverniers, E.J. Hall, M.A. Katsoulakis, and D.M. Tartakovsky.

GINNs: Graph-Informed Neural Networks for Multiscale Physics

E.J. Hall, S. Taverniers, M.A. Katsoulakis, and D.M. Tartakovsky.

2020

Accelerated multilevel Monte Carlo with kernel‐based smoothing and Latinized stratification

S. Taverniers, S.B.M. Bosma, and D.M. Tartakovsky.

Estimation of distributions via multilevel Monte Carlo with stratified sampling

S. Taverniers and D.M. Tartakovsky.

2019

Two-way coupled Cloud-In-Cell modeling of non-isothermal particle-laden flows: A Subgrid Particle-Averaged Reynolds Stress-Equivalent (SPARSE) formulation

S. Taverniers, H.S. Udaykumar, and G.B. Jacobs.

Multi-scale Simulation of the Interaction of a Shock Wave and a Cloud of Particles

S. Taverniers, G.B. Jacobs, V. Fountoulakis, O. Sen and H.S. Udaykumar.

2017

Impact of parametric uncertainty on estimation of the energy deposition into an irradiated brain tumor

S. Taverniers and D.M. Tartakovsky.

A tightly-coupled domain-decomposition approach for highly nonlinear stochastic multiphysics systems

S. Taverniers and D.M. Tartakovsky.

2016

Conservative tightly-coupled simulations of stochastic multiscale systems

S. Taverniers, A.Y. Pigarov, and D.M. Tartakovsky.

2015

Physics-based statistical learning approach to mesoscopic model selection

S. Taverniers, T.S. Haut, K. Barros, F.J. Alexander, and T. Lookman.

2014

Noise propagation in hybrid models of nonlinear systems: The Ginzburg-Landau equation

S. Taverniers, F.J. Alexander, and D.M. Tartakovsky.