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Results: 46
Number of items: 46
  • Open Access
    Groen, D., Arabnejad, H., Jancauskas, V., Edeling, W. N., Jansson, F., Richardson, R. A., Lakhlili, J., Veen, L., Bosak, B., Kopta, P., Wright, D. W., Monnier, N., Karlshoefer, P., Suleimenova, D., Sinclair, R., Vassaux, M., Nikishova, A., Bieniek, M., Luk, O. O., ... Coveney, P. V. (2021). VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200221. https://doi.org/10.1098/rsta.2020.0221
  • Open Access
    Jansson, F., Edeling, W., Attema, J., & Crommelin, D. (2021). Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200073. https://doi.org/10.1098/rsta.2020.0073
  • Open Access
    Gugole, F., Coffeng, L. E., Edeling, W., Sanderse, B., de Vlas, S. J., & Crommelin, D. (2021). Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Computational Biology, 17(9), Article 1009355. https://doi.org/10.1371/journal.pcbi.1009355
  • Razaaly, N., Crommelin, D., & Congedo, P. M. (2020). Efficient estimation of extreme quantiles using adaptive kriging and importance sampling. International Journal for Numerical Methods in Engineering, 121(9), 2086-2105. https://doi.org/10.1002/nme.6300
  • Edeling, W., & Crommelin, D. (2020). Reducing data-driven dynamical subgrid scale models by physical constraints. Computers and Fluids, 201, Article 104470. https://doi.org/10.1016/j.compfluid.2020.104470
  • Open Access
    Crommelin, D. T., Edeling, W., & Jansson, F. (2020). Tackling the Multiscale Challenge of Climate Modelling. ERCIM News, 121, 15-17. https://ercim-news.ercim.eu/en121
  • Open Access
    van den Oord, G., Jansson, F., Pelupessy, I., Chertova, M., Grönqvist, J. H., Siebesma, P., & Crommelin, D. (2020). A Python interface to the Dutch Atmospheric Large-Eddy Simulation. SoftwareX, 12, Article 100608. https://doi.org/10.1016/j.softx.2020.100608
  • Open Access
    Wright, D. W., Richardson, R. A., Edeling, W., Lakhlili, J., Sinclair, R. C., Jancauskas, V., Suleimenova, D., Bosak, B., Kulczewski, M., Piontek, T., Kopta, P., Chirca, I., Arabnejad, H., Luk, O. O., Hoenen, O., Węglarz, J., Crommelin, D., Groen, D., & Coveney, P. V. (2020). Building Confidence in Simulation: Applications of EasyVVUQ. Advanced Theory and Simulations, 3(8), Article 1900246. https://doi.org/10.1002/adts.201900246
  • Groen, D., Richardson, R. A., Wright, D. W., Jancauskas, V., Sinclair, R., Karlshoefer, P., Vassaux, M., Arabnejad, H., Piontek, T., Kopta, P., Bosak, B., Lakhlili, J., Hoenen, O., Suleimenova, D., Edeling, W., Crommelin, D., Nikishova, A., & Coveney, P. V. (2019). Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019 : 19th International Conference Faro, Portugal, June 12-14, 2019 Proceedings (Vol. IV, pp. 479-492). (Lecture Notes in Computer Science; Vol. 11539). Springer. https://doi.org/10.1007/978-3-030-22747-0_36
  • Bisewski, K., Crommelin, D., & Mandjes, M. (2019). Rare event simulation for steady-state probabilities via recurrency cycles. Chaos, 29(3), Article 033131. https://doi.org/10.1063/1.5080296
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