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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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An empirical interpolation method for two-dimensional vector fields and vector measurements
Published in International Journal for Numerical Methods in Engineering, 2021
Empirical interpolation for 2D vector fields with vector measurements.
Recommended citation: Silva, F. A. B., Lorenzi, S., & Cammi, A. (2021). “An empirical interpolation method for two-dimensional vector fields and vector measurements.” International Journal for Numerical Methods in Engineering, 122(15). https://doi.org/10.1002/nme.6679
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Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations
Published in Computer Methods in Applied Mechanics and Engineering, 2022
Non-intrusive reduced-basis learning of constitutive models from microstructural simulations.
Recommended citation: Guo, T., Silva, F. A. B., Rokos, O., & Veroy, K. (2022). “Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations.” Computer Methods in Applied Mechanics and Engineering, 401. https://doi.org/10.1016/j.cma.2022.115636
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A reduced order model for fission gas diffusion in columnar grains
Published in Nuclear Engineering and Technology, 2023
Reduced-order modeling for fission gas diffusion in nuclear fuel microstructures.
Recommended citation: Pizzocri, D., Di Gennaro, M., Barani, T., Silva, F. A. B., Zullo, G., Lorenzi, S., & Cammi, A. (2023). “A reduced order model for fission gas diffusion in columnar grains.” Nuclear Engineering and Technology, 55(11). https://doi.org/10.1016/j.net.2023.07.013
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A reduced basis ensemble Kalman method
Published in GEM - International Journal on Geomathematics, 2023
Reduced basis surrogates embedded in an ensemble Kalman framework for inverse problems/data assimilation.
Recommended citation: Silva, F. A. B., Pagliantini, C., Grepl, M., & Veroy, K. (2023). “A reduced basis ensemble Kalman method.” GEM - International Journal on Geomathematics, 14(24). https://doi.org/10.1007/s13137-023-00235-8
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An adaptive hierarchical ensemble Kalman filter with reduced basis models
Published in SIAM/ASA Journal on Uncertainty Quantification, 2025
Adaptive hierarchical ensemble Kalman filtering accelerated with reduced basis surrogates.
Recommended citation: Silva, F. A. B., Pagliantini, C., & Veroy, K. (2025). “An adaptive hierarchical ensemble Kalman filter with reduced basis models.” SIAM/ASA Journal on Uncertainty Quantification, 13(1). https://epubs.siam.org/doi/10.1137/24M1653690
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Optimal sensor placement and ensemble Kalman inversion for multiphysics reactor state estimation
Published in Results in Engineering, 2025
Ensemble-based inversion and optimal sensor placement for multiphysics reactor state estimation.
Recommended citation: Silva, F. A. B., Ragusa, J. C., & Fiorina, C. (2025). “Optimal sensor placement and ensemble Kalman inversion for multiphysics reactor state estimation.” Results in Engineering, 29. https://doi.org/10.1016/j.rineng.2025.108389
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Improved reduced order modelling for time-dependent fission gas diffusion in columnar grains tailored for fuel performance applications
Published in Nuclear Engineering and Technology, 2026
Improved reduced-order modelling for intra-granular fission gas diffusion in columnar grains for fuel performance applications.
Recommended citation: Di Gennaro, M., Pizzocri, D., Silva, F. A. B., Zullo, G., Lorenzi, S., Cammi, A., & Luzzi, L. (2026). “Improved reduced order modelling for time-dependent fission gas diffusion in columnar grains tailored for fuel performance applications.” Nuclear Engineering and Technology, 58(6). 104178. https://doi.org/10.1016/j.net.2026.104178
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A generalized empirical interpolation method for direct multi-physics state reconstruction
Published in In revision, 2026
Status: In revision.
Recommended citation: Tamim, M. H., Silva, F. A. B., Krpan, R., Fiorina, C., & Ragusa, J. C. (2026). “A generalized empirical interpolation method for direct multi-physics state reconstruction.” In revision.
Learning low-rank neutron transport dynamics on linear and nonlinear manifolds: a data-driven semi-intrusive approach
Published in In revision, 2026
Status: In revision.
Recommended citation: Silva, F. A. B., & Ragusa, J. C. (2026). “Learning low-rank neutron transport dynamics on linear and nonlinear manifolds: a data-driven semi-intrusive approach.” In revision.