Daan Crommelin

Orcid: 0000-0003-0542-6337

Affiliations:
  • Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
  • University of Amsterdam, Korteweg-de Vries Institute for Mathematics, The Netherlands


According to our database1, Daan Crommelin authored at least 29 papers between 2006 and 2023.

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

Timeline

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Bibliography

2023
Comparison of neural closure models for discretised PDEs.
Comput. Math. Appl., 2023

2021
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model.
PLoS Comput. Biol., 2021

The impact of uncertainty on predictions of the CovidSim epidemiological code.
Nat. Comput. Sci., 2021

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit.
J. Comput. Sci., 2021

The Case for Uncertainty in COVID19 Predictions.
ERCIM News, 2021

Performance optimization and load-balancing modeling for superparametrization by 3D LES.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

2020
A Python interface to the Dutch Atmospheric Large-Eddy Simulation.
SoftwareX, 2020

Tackling the Multiscale Challenge of Climate Modelling.
ERCIM News, 2020

VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations.
CoRR, 2020

Stochastic parameterization with VARX processes.
CoRR, 2020

Resampling with neural networks for stochastic parameterization in multiscale systems.
CoRR, 2020

Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers.
CoRR, 2020

2019
Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees.
Entropy, 2019

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond.
Proceedings of the Computational Science - ICCS 2019, 2019

Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Controlling the Time Discretization Bias for the Supremum of Brownian Motion.
ACM Trans. Model. Comput. Simul., 2018

Simulation-based Assessment of the stationary Tail Distribution of a stochastic differential equation.
Proceedings of the 2018 Winter Simulation Conference, 2018

Resolving Clouds in a Global Atmosphere Model - A Multiscale Approach with Nested Models.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016
A Large-Deviation-Based Splitting Estimation of Power Flow Reliability.
ACM Trans. Model. Comput. Simul., 2016

A computational method for optimizing storage placement to maximize power network reliability.
Proceedings of the Winter Simulation Conference, 2016

2015
Efficient estimator of probabilities of large power spills in an stand-alone system with wind generation and storage.
Proceedings of the 2015 Winter Simulation Conference, 2015

2014
A separated splitting technique for disconnected rare event sets.
Proceedings of the 2014 Winter Simulation Conference, 2014

2013
Applying a splitting technique to estimate electrical grid reliability.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2011
Diffusion Estimation from Multiscale Data by Operator Eigenpairs.
Multiscale Model. Simul., 2011

2010
Stochastics and Computation for Turbulent Systems.
ERCIM News, 2010

2009
Data-Based Inference of Generators for Markov Jump Processes Using Convex Optimization.
Multiscale Model. Simul., 2009

2008
Clouds by Chance: Improving Atmosphere Models with Random Numbers.
ERCIM News, 2008

2006
Fitting timeseries by continuous-time Markov chains: A quadratic programming approach.
J. Comput. Phys., 2006


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