Atypical Magnetic Behavior in the Incommensurate (CH 3 NH 3 )[Ni(HCOO) 3 ] Hybrid Perovskite.
Breogán Pato-DoldánLaura Cañadillas-DelgadoL Claudia Gómez-AguirreM A Señarís-RodríguezManuel Sánchez-AndújarÓscar FabeloJorge MiraPublished in: The journal of physical chemistry. C, Nanomaterials and interfaces (2023)
A plethora of temperature-induced phase transitions have been observed in (CH 3 NH 3 )[M(HCOO) 3 ] compounds, where M is Co(II) or Ni(II). Among them, the nickel compound exhibits a combination of magnetic and nuclear incommensurability below Néel temperature. Despite the fact that the zero-field behavior has been previously addressed, here we study in depth the macroscopic magnetic behavior of this compound to unveil the origin of the atypical magnetic response found in it and in its parent family of formate perovskites. In particular, they show a puzzling magnetization reversal in the curves measured starting from low temperatures, after cooling under zero field. The first atypical phenomenon is the impossibility of reaching zero magnetization, even by nullifying the applied external field and even compensating it for the influence of the Earth's magnetic field. Relatively large magnetic fields are needed to switch the magnetization from negative to positive values or vice versa, which is compatible with a soft ferromagnetic system. The atypical path found in its first magnetization curve and hysteresis loop at low temperatures is the most noticeable feature. The magnetization curve switches from more than 1200 Oe from the first magnetization loop to the subsequent magnetization loops. A feature that cannot be explained using a model based on unbalanced pair of domains. As a result, we decipher this behavior in light of the incommensurate structure of this material. We propose, in particular, that the applied magnetic field induces a magnetic phase transition from a magnetically incommensurate structure to a magnetically modulated collinear structure.
Keyphrases
- molecularly imprinted
- room temperature
- machine learning
- deep learning
- transcription factor
- mass spectrometry
- high resolution
- gold nanoparticles
- ionic liquid
- oxidative stress
- solid phase extraction
- endothelial cells
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- optical coherence tomography
- high glucose
- perovskite solar cells
- liquid chromatography
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- stress induced