Søren Taverniers

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 13

Top Topics

Highly Nonlinear

Mutual Information

Top Venues

J. Comput. Phys.

J. Comput. Sci.

AAAI Spring Symposium: MLPS

Publications

Shahab Mirjalili, Søren Taverniers, Henry Collis, Morad Behandish, Ali Mani
Inverse asymptotic treatment: Capturing discontinuities in fluid flows via equation modification. J. Comput. Sci. 73 (2023)
Søren Taverniers, Svyatoslav Korneev, Kyle M. Pietrzyk, Morad Behandish
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning. CoRR (2022)
Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis, Daniel M. Tartakovsky
Graph-Informed Neural Networks. AAAI Spring Symposium: MLPS (2021)
Eric Joseph Hall, Søren Taverniers, Markos A. Katsoulakis, Daniel M. Tartakovsky
GINNs: Graph-Informed Neural Networks for multiscale physics. J. Comput. Phys. 433 (2021)
Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis, Daniel M. Tartakovsky
Mutual information for explainable deep learning of multiscale systems. J. Comput. Phys. 444 (2021)
Søren Taverniers, Daniel M. Tartakovsky
Estimation of distributions via multilevel Monte Carlo with stratified sampling. J. Comput. Phys. 419 (2020)
Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis, Daniel M. Tartakovsky
Mutual Information for Explainable Deep Learning of Multiscale Systems. CoRR (2020)
Eric Joseph Hall, Søren Taverniers, Markos A. Katsoulakis, Daniel M. Tartakovsky
GINNs: Graph-Informed Neural Networks for Multiscale Physics. CoRR (2020)
Søren Taverniers, H. S. Udaykumar, Gustaaf B. Jacobs
Two-way coupled Cloud-In-Cell modeling of non-isothermal particle-laden flows: A Subgrid Particle-Averaged Reynolds Stress-Equivalent (SPARSE) formulation. J. Comput. Phys. 390 (2019)
Søren Taverniers, Daniel M. Tartakovsky
Estimation of distributions via multilevel Monte Carlo with stratified sampling. CoRR (2019)
Søren Taverniers, Daniel M. Tartakovsky
A tightly-coupled domain-decomposition approach for highly nonlinear stochastic multiphysics systems. J. Comput. Phys. 330 (2017)
Søren Taverniers, Daniel M. Tartakovsky
Impact of parametric uncertainty on estimation of the energy deposition into an irradiated brain tumor. J. Comput. Phys. 348 (2017)
Søren Taverniers, Alexander Y. Pigarov, Daniel M. Tartakovsky
Conservative tightly-coupled simulations of stochastic multiscale systems. J. Comput. Phys. 313 (2016)
Søren Taverniers, Francis J. Alexander, Daniel M. Tartakovsky
Noise propagation in hybrid models of nonlinear systems: The Ginzburg-Landau equation. J. Comput. Phys. 262 (2014)