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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Influence of layering and Curie temperature uncertainty on the performance of multilayer active magnetic regenerators</dc:title><dc:creator>Tomc,	Urban	(Avtor)
	</dc:creator><dc:creator>Peixer,	Guilherme Fidelis	(Avtor)
	</dc:creator><dc:creator>Bahl,	Christian Robert Haffenden	(Avtor)
	</dc:creator><dc:creator>Nielsen,	Kaspar K.	(Avtor)
	</dc:creator><dc:creator>Lozano,	Jaime A.	(Avtor)
	</dc:creator><dc:creator>Barbosa,	Jader R.	(Avtor)
	</dc:creator><dc:creator>Kitanovski,	Andrej	(Avtor)
	</dc:creator><dc:subject>active magnetic regenerator</dc:subject><dc:subject>magnetocaloric properties</dc:subject><dc:subject>Curie temperature</dc:subject><dc:subject>neurual networks</dc:subject><dc:subject>numerical modelling</dc:subject><dc:subject>machine learning</dc:subject><dc:subject>multilayers</dc:subject><dc:subject>numerical models</dc:subject><dc:description>Magnetic refrigeration is a promising alternative to traditional vapor compression systems, with potential eﬃciency and environmental sustainability advantages. However, the narrow operational temperature range of magnetocaloric materials (MCMs) and their reliance on rare-earth elements remain key challenges. Multilayer active magnetic regenerators (AMRs) address the temperature range limitations by combining multiple magnetocaloric layers, each with diﬀerent Curie temperatures. This study investigates the impact of statistical deviations in Curie temperatures on the performance of multilayer AMRs, speciﬁcally using second-order La-Fe-Co-Si materials. A 1D multilayer AMR numerical model is developed to simulate the eﬀects of Curie temperature variability, with radial basis function neural networks employed to eﬃciently predict performance. The results indicate that although increasing the number of MCM layers enhances cooling power and coeﬃcient of performance (COP), Curie temperature uncertainties signiﬁcantly degrade the AMR performance. The likelihood of achieving cooling targets diminishes as the number of MCM layers increases, particularly for standard deviations exceeding 1 K. These ﬁndings emphasize the importance of accounting for Curie temperature uncertainties in AMR design. Moreover, enhancing the manufacturing precision of the Curie temperatures of MCMs is essential for improving the performance and commercialization of magnetocaloric technology.</dc:description><dc:date>2025</dc:date><dc:date>2026-01-09 13:47:51</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>177850</dc:identifier><dc:identifier>UDK: 537:536</dc:identifier><dc:identifier>ISSN pri članku: 1616-3028</dc:identifier><dc:identifier>DOI: 10.1002/adfm.202424282</dc:identifier><dc:identifier>COBISS_ID: 249789699</dc:identifier><dc:language>sl</dc:language></metadata>
