Francesco Iacoviello

Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning

Ying Da Wang, Quentin Meyer, Kunning Tang et al. · Nature Communications · 2023 · 149 citations · Full text

Quantifying the anisotropy and tortuosity of permeable pathways in clay-rich mudstones using models based on X-ray tomography

Nils R. Backeberg, Francesco Iacoviello, Martin Rittner et al. · Scientific Reports · 2017 · 131 citations · Full text

X-ray Tomography, Engineering, Highest Permeability +16

Aqueous Inks of Pristine Graphene for 3D Printed Microsupercapacitors with High Capacitance

Stefano Tagliaferri, Goli Nagaraju, Apostolos Panagiotopoulos et al. · ACS Nano · 2021 · 107 citations · Full text

Investigation of Hot Pressed Polymer Electrolyte Fuel Cell Assemblies via X-ray Computed Tomography

Quentin Meyer, N. Mansor, Francesco Iacoviello et al. · Electrochimica Acta · 2017 · 88 citations · Full text

Materials Science, Engineering, Polymer Science +4

Correlative study of microstructure and performance for porous transport layers in polymer electrolyte membrane water electrolysers by X-ray computed tomography and electrochemical characterization

Jude O. Majasan, Francesco Iacoviello, J.I.S. Cho et al. · International Journal of Hydrogen Energy · 2019 · 83 citations

Chemical Engineering, Engineering, Electrolyzer Cell +9