cff-version: 1.2.0 abstract: "
This dataset contains the results of numerical simulations performed to investigate the influence of various layering strategies on the performance of active magnetocaloric regenerators (AMRs) for heat pump applications. These results were published in Applied Thermal Engineering 232 (2023) 120962. The simulations were performed using a one-dimensional numerical model of an AMR implemented in Python.
" authors: - family-names: Pineda Quijano given-names: Diego orcid: "https://orcid.org/0009-0000-2848-8923" - family-names: Infante Ferreira given-names: Carlos A. - family-names: Brück given-names: Ekkes title: "Data and code underlying Chapter 3 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"" keywords: version: 1 identifiers: - type: doi value: 10.4121/cd51b1e3-ab4a-4e6c-a668-f53da25475d4.v1 license: CC BY 4.0 date-released: 2025-06-12