Publications

• B. M. Kent, L. Tamellini, M. Giacomini, and A. Huerta, Noise-robust multi-fidelity surrogate modelling for parametric partial differential equations, J. Comput. Phys., 114761 (2026), https://doi.org/10.1016/j.jcp.2026.114761.
• B. M. Kent, SparseGridsKit.jl: Adaptive single- and multi-fidelity sparse grid approximation in Julia, J. Open Source Software, 10 (113) (2025), 8300, https://doi.org/10.21105/joss.08300.
• L. Seelinger, A. Reinarz, M. B. Lykkegaard, R. Akers, A. M. A. Alghamdi, D. Aristoff, W. Bangerth, J. Bénézech, M. Diez, K. Frey, J. D. Jakeman, J. S. Jørgensen, K.-T. Kim, B. M. Kent, M. Martinelli, M. Parno, R. Pellegrini, N. Petra, N. A. B. Riis, K. Rosenfeld, A. Serani, L. Tamellini, U. Villa, T. J. Dodwell, and R. Scheichl, Democratizing uncertainty quantification, J. Comput. Phys., 113542 (2024), https://doi.org/10.1016/j.jcp.2024.113542.
• B. M. Kent, C. E. Powell, D. J. Silvester, and M. J. Zimoń, Efficient adaptive stochastic collocation strategies for advection–diffusion problems with uncertain inputs, J. Sci. Comput., 96 (2023), 64, https://doi.org/10.1007/s10915-023-02247-w.
• B. M. Kent, Efficient approximation of parametric parabolic partial differential equations, Ph.D. thesis, University of Manchester, 2024.