Eric Laloy -

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Research activity per year

49 Article
6 Third partyreport
4 In-proceedings paper
1 Doctoral thesis
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- 1 Master's thesis

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning
Casas Molina, V., Laloy, E., Rogiers, B., Dhaene, T. & Couckuyt, I., 1 Oct 2024, In: Nuclear Inst. and Methods in Physics Research, A. 1067, 13 p., 169687.
Research output › peer-review

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Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models
Špetlík, M., Březina, J. & Laloy, E., Dec 2024, In: Computational Geosciences. 28, 6, p. 1425-1440 16 p., 036309.
Research output › peer-review
EURAD state-of-the-art report: development and improvement of numerical methods and tools for modeling coupled processes in the field of nuclear waste disposal
Claret, F., Prasianakis, N. I., Attila, B., Lukin, D., Pepin, G., Ahusborde, E., Amaziane, B., Bátor, G., Becker, D.-A., Bednár, A., Béreš, M., Bérešova, S., Böthi, Z., Brendler, V., Brenner, K., Březina, J., Chave, F., Churakov, S. V., Hokr, M. & Horák, D. & 29 others, Jacques, D., Jankovsky, F., Kazymyrenko, C., Koudelka, T., Kovacs, T., Krejčí, T., Kruis, J., Laloy, E., Landa, J., Ligurský, T., Lipping, T., López-Vázquez, C., Masson, R., Meeussen, J. C. L., Mollaali, M., Mon, A., Montenegro, L., Pisani, B., Poonoosamy, J., Pospiech, S., Saadi, Z., Samper, J., Samper, A. C., Scaringi, G., Sysala, S., Yoshioka, K., Yang, Y., Zuna, M. & Kolditz, O., 9 Oct 2024, In: Frontiers in Nuclear Medicine. 3, 2024, 53 p.
Research output › peer-review

Open Access
First steps towards productionizing probabilistic radwaste characterization
Laloy, E., Rogiers, B., Bielen, A., Borella, A., Gandolfo, G., Lepore, L., Marzo, G. A., Cherubini, N., Perot, B., Ducasse, Q., Eleon, C. & Boden, S., Aug 2024, In: Nuclear Engineering and Design. 424, 17 p., 113257.
Research output › peer-review

Open Access
Model abstraction techniques for assessing the chemical evolution at the disposal cell scale and applications for sensitivity and uncertainty: EURAD-ACED Deliverable 2.19
Samper, J., Mon Lopez, A., Montenegro, L., De Windt, L., Govaerts, J., Laloy, E., Jacques, D., Grigaliuniene, D., Balcius, P., Poskas, P., Shao, H., Vehling, F. & Gu, Y., 18 Mar 2024, EURAD - European Joint Programme on Radioactive Waste Management. 125 p. (EURAD Reports; no. D2.19)
Research output › peer-review

Open Access
File

6 Downloads (Pure)

Eric Laloy

Collaborations and top research areas from the last five years

Dive into details

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models

EURAD state-of-the-art report: development and improvement of numerical methods and tools for modeling coupled processes in the field of nuclear waste disposal

First steps towards productionizing probabilistic radwaste characterization

Model abstraction techniques for assessing the chemical evolution at the disposal cell scale and applications for sensitivity and uncertainty: EURAD-ACED Deliverable 2.19

Eric Laloy

Collaborations and top research areas from the last five years

Research output

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models

EURAD state-of-the-art report: development and improvement of numerical methods and tools for modeling coupled processes in the field of nuclear waste disposal

First steps towards productionizing probabilistic radwaste characterization

Model abstraction techniques for assessing the chemical evolution at the disposal cell scale and applications for sensitivity and uncertainty: EURAD-ACED Deliverable 2.19