Search results
Results: 42
Number of items: 42
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Groen, D., Arabnejad, H., Suleimenova, D., Edeling, W., Raffin, E., Xue, Y., Bronik, K., Monnier, N., & Coveney, P. V. (2023). FabSim3: An automation toolkit for verified simulations using high performance computing. Computer Physics Communications, 283, Article 108596. https://doi.org/10.1016/J.CPC.2022.108596 -
Kovalchuk, S. V., de Mulatier, C., Groen, D., Paszyński, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2023). The computational planet. Journal of Computational Science, 72, Article 102102. https://doi.org/10.1016/j.jocs.2023.102102 -
Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13350). Springer. https://doi.org/10.1007/978-3-031-08751-6
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Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13351). Springer. https://doi.org/10.1007/978-3-031-08754-7
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Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13353). Springer. https://doi.org/10.1007/978-3-031-08760-8
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Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. III, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13352). Springer. https://doi.org/10.1007/978-3-031-08757-8 -
Suleimenova, D., Arabnejad, H., Edeling, W. N., Coster, D., Luk, O. O., Lakhlili, J., Jancauskas, V., Kulczewski, M., Veen, L., Ye, D., Zun, P., Krzhizhanovskaya, V., Hoekstra, A., Crommelin, D., Coveney, P. V., & Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53, Article 101402. https://doi.org/10.1016/j.jocs.2021.101402 -
Coveney, P. V., Groen, D., & Hoekstra, A. G. (2021). Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200409. https://doi.org/10.1098/rsta.2020.0409 -
Edeling, W., Arabnejad, H., Sinclair, R., Suleimenova, D., Gopalakrishnan, K., Bosak, B., Groen, D., Mahmood, I., Crommelin, D., & Coveney, P. V. (2021). The impact of uncertainty on predictions of the CovidSim epidemiological code. Nature Computational Science, 1(2), 128-135. https://doi.org/10.1038/s43588-021-00028-9 -
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
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