Søren Taverniers

According to our database1, Søren Taverniers authored at least 11 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Inverse asymptotic treatment: Capturing discontinuities in fluid flows via equation modification.
J. Comput. Sci., November, 2023

2022
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning.
CoRR, 2022

2021
Mutual information for explainable deep learning of multiscale systems.
J. Comput. Phys., 2021

GINNs: Graph-Informed Neural Networks for multiscale physics.
J. Comput. Phys., 2021

Graph-Informed Neural Networks.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020
Estimation of distributions via multilevel Monte Carlo with stratified sampling.
J. Comput. Phys., 2020

2019
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., 2019

2017
Impact of parametric uncertainty on estimation of the energy deposition into an irradiated brain tumor.
J. Comput. Phys., 2017

A tightly-coupled domain-decomposition approach for highly nonlinear stochastic multiphysics systems.
J. Comput. Phys., 2017

2016
Conservative tightly-coupled simulations of stochastic multiscale systems.
J. Comput. Phys., 2016

2014
Noise propagation in hybrid models of nonlinear systems: The Ginzburg-Landau equation.
J. Comput. Phys., 2014


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