A quantitative criterion for determining the order of magnetic phase transitions using the magnetocaloric effect

The ideal magnetocaloric material would lay at the borderline of a first-order and a second-order phase transition. Hence, it is crucial to unambiguously determine the order of phase transitions for both applied magnetocaloric research as well as the characterization of other phase change materials....

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Detalles Bibliográficos
Autores: Law , J Y, Franco , V, Conde , A, Karpenkov , D Y, Radulov , I A, Skokov , K P, Gutfleisch , O, Moreno Ramírez, Luis Miguel
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/40997
Acceso en línea:https://hdl.handle.net/10578/40997
Access Level:acceso abierto
Palabra clave:First-order transition
Magnetic measurements
Magnetocaloric effect
Phase transitions
Second-order transition
Descripción
Sumario:The ideal magnetocaloric material would lay at the borderline of a first-order and a second-order phase transition. Hence, it is crucial to unambiguously determine the order of phase transitions for both applied magnetocaloric research as well as the characterization of other phase change materials. Although Ehrenfest provided a conceptually simple definition of the order of a phase transition, the known techniques for its determination based on magnetic measurements either provide erroneous results for specific cases or require extensive data analysis that depends on subjective appreciations of qualitative features of the data. Here we report a quantitative fingerprint of first-order thermomagnetic phase transitions: the exponent n from field dependence of magnetic entropy change presents a maximum of n > 2 only for first-order thermomagnetic phase transitions. This model-independent parameter allows evaluating the order of phase transition without any subjective interpretations, as we show for different types of materials and for the Bean–Rodbell model.