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Liegeois Kim

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Main Referenced Co-authors
Boman, Romain  (8)
Arnst, Maarten  (7)
Phipps, Eric (5)
Mertens, Philippe (2)
De Bock, M. (1)
Main Referenced Keywords
BLAS (1); Charge transfer (1); Control flow divergence (1); CXRS (1); Diagnostics (1);
Main Referenced Disciplines
Mechanical engineering (7)
Materials science & engineering (1)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 9)

The most downloaded
734 downloads
Liegeois, K., Boman, R., Mertens, P., Panin, A., Phipps, E., & Arnst, M. (19 July 2017). Ensemble propagation for efficient uncertainty quantification on emerging architectures: Application to thermomechanical contact [Poster presentation]. Quantification of Uncertainty: Improving Efficiency and Technology, Trieste, Italy. https://hdl.handle.net/2268/213234

The most cited

6 citations (OpenCitations)

Mertens, P., Boman, R., Dickheuer, S., Krasikov, Y., Krimmer, A., Leichtle, D., Liegeois, K., Linsmeier, C., Litnovsky, A., Marchuk, O., Rasinski, M., & De Bock, M. (September 2019). On the use of rhodium mirrors for optical diagnostics in ITER. Fusion Engineering and Design, 146 (part B), 2514-2518. doi:10.1016/j.fusengdes.2019.04.031 https://hdl.handle.net/2268/235356

Liegeois, K., Boman, R., Phipps, E. T., Wiesner, T. A., & Arnst, M. (01 September 2020). GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models. Computer Methods in Applied Mechanics and Engineering, 369. doi:10.1016/j.cma.2020.113188
Peer Reviewed verified by ORBi

Liegeois, K. (2020). GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models with application to the thermomechanical simulation of an ITER front mirror [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/249334

Mertens, P., Boman, R., Dickheuer, S., Krasikov, Y., Krimmer, A., Leichtle, D., Liegeois, K., Linsmeier, C., Litnovsky, A., Marchuk, O., Rasinski, M., & De Bock, M. (September 2019). On the use of rhodium mirrors for optical diagnostics in ITER. Fusion Engineering and Design, 146 (part B), 2514-2518. doi:10.1016/j.fusengdes.2019.04.031
Peer Reviewed verified by ORBi

Liegeois, K., Boman, R., Phipps, E., Mertens, P., Krasikov, Y., & Arnst, M. (25 June 2019). Ensemble propagation for efficient uncertainty quantification: Application to the thermomechanical modeling of a first mirror for the ITER core CXRS diagnostics [Paper presentation]. UNCECOMP 2019 / 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering.

Liegeois, K., Boman, R., Phipps, E., & Arnst, M. (25 April 2019). Efficient parametric computations using ensemble propagation for high dimensional finite element models [Paper presentation]. CÉCI Scientific Meeting.

Liegeois, K., Boman, R., Phipps, E., & Arnst, M. (28 February 2019). Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems [Paper presentation]. SIAM Conference on Computational Science and Engineering.

Liegeois, K., Boman, R., Phipps, E., Wiesner, T., & Arnst, M. (17 April 2018). On the Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems [Paper presentation]. SIAM Conference on Uncertainty Quanti cation 2018.

Liegeois, K., Boman, R., Mertens, P., Panin, A., Phipps, E., & Arnst, M. (19 July 2017). Ensemble propagation for efficient uncertainty quantification on emerging architectures: Application to thermomechanical contact [Poster presentation]. Quantification of Uncertainty: Improving Efficiency and Technology, Trieste, Italy.

Arnst, M., Liegeois, K., Boman, R., & Ponthot, J.-P. (18 May 2016). Comparison of interval and stochastic methods for uncertainty quantification in metal forming [Paper presentation]. ICOMP International Conference on COmputational methods in Manufacturing Processes.

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