Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks. - John M. Hanna; José Vicente Aguado; Sebastien Comas-Cardona; Ramzi Askri; Domenico Borzacchiello (CoRR, 2021)

A comparative analysis of metamodels for lumped cardiovascular models, and pipeline for sensitivity analysis, parameter estimation, and uncertainty quantification. - John M. Hanna; Pavlos Varsos; Jérôme Kowalski; Lorenzo Sala; Roel Meiburg; Irene E. Vignon-Clementel (CoRR, 2024)

Variance-based loss function for improved regularization. - John M. Hanna; Irene E. Vignon-Clementel (CoRR, 2024)

Sensitivity analysis using Physics-informed neural networks. - John M. Hanna; José Vicente Aguado; Sebastien Comas-Cardona; Ramzi Askri; Domenico Borzacchiello (Eng. Appl. Artif. Intell., 2024)

A comparative analysis of metamodels for 0D cardiovascular models, and pipeline for sensitivity analysis, parameter estimation, and uncertainty quantification. - John M. Hanna; Pavlos Varsos; Jérôme Kowalski; Lorenzo Sala; Roel Meiburg; Irene E. Vignon-Clementel (Comput. Biol. Medicine, 2025)