Publications

Submitted

• C. Montoya, I. Brevis, and D. Bolivar, Inverse source problems for coupled parabolic systems from measurements of one internal component.

Published

• I. Brevis, I. Muga, D. Pardo, O. Rodriguez, and K. G. van der Zee, Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach, Computers and Mathematics with Applications, Vol. 164, 2024, pp. 139-149.
• I. Brevis, I. Muga, and K. G. van der Zee, Neural control of discrete weak formulations: Galerkin, least-squares & minimal-residual methods with quasi-optimal weights, Computer Methods in Applied Mechanics and Engineering, Vol. 402, 2022, pp. 115716.
• I. Brevis, I. Muga, and K. G. van der Zee, A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations, Computers and Mathematics with Applications, Vol. 95, 2021, pp. 186-199.
• I. Brevis, A. Rodríguez-Rozas, J. H. Ortega, and D. Pardo, Source time reversal (STR) method for linear elasticity, Computers and Mathematics with Applications, Vol. 77, Issue 5, 2019, pp. 1358-1375.
• I. Brevis, J. H. Ortega, and D. Pardo, A source time reversal method for seismicity induced by mining, Inverse Problems and Imaging, Vol. 11, Issue 1, 2017, pp. 25-45.

Back to Homepage