Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/185362
Title: Pitfalls on evaluating pair exchange interactions for modelling molecule-based magnetism
Author: Fumanal Quintana, María
Jornet Somoza, Joaquim
Vela Llausí, Sergi
Novoa Vide, Juan J.
Ribas Ariño, Jordi
Deumal i Solé, Mercè
Keywords: Magnetisme
Molècules
Electrons
Magnetism
Molecules
Electrones
Issue Date: 5-Jul-2021
Publisher: Royal Society of Chemistry
Abstract: Molecule-based magnetism is a solid-state property that results from the microscopic interaction between magnetic centres or radicals. The observed magnetic response is due to unpaired electrons whose coupling leads to a particular magnetic topology. Therefore, to understand the magnetic response of a given molecule-based magnet and reproduce the available experimental magnetic properties by means of statistical mechanics, one has to be able to determine the value of the JAB magnetic exchange coupling between radicals. The calculation of JAB is thus a key point for modelling molecule-based magnetism. In this Perspectives article, we will build upon our experience in modelling molecular magnetism to point out some pitfalls on evaluating JAB couplings. Special attention must be paid to the cluster models used to evaluate JAB, which should account for cooperative effects among JAB interactions and also consider the environment (counterions, hydrogen bonding) of the two radicals whose interaction has to be evaluated. It will be also necessary to assess whether a DFT-based or a wavefunction-based method is best to study a given radical. Finally, in addition to model and method, the JAB couplings have to be able to adapt to changes in the magnetic topology due to thermal fluctuations. Therefore, it is most important to appraise in which systems molecular dynamics simulations would be required. Given the large number of issues one must tackle when choosing the correct model and method to evaluate JAB interactions for modelling magnetic properties in molecule-based materials, the "human factor" is a must to cross-examine and challenge computations before trusting any result.
Note: Reproducció del document publicat a: https://doi.org/10.1039/d1tc01083b
It is part of: Journal of Materials Chemistry C, 2021, vol. 9, num. 33, p. 10647-10660
URI: http://hdl.handle.net/2445/185362
Related resource: https://doi.org/10.1039/d1tc01083b
ISSN: 2050-7526
Appears in Collections:Articles publicats en revistes (Ciència dels Materials i Química Física)
Articles publicats en revistes (Institut de Química Teòrica i Computacional (IQTCUB))

Files in This Item:
File Description SizeFormat 
714198.pdf5.46 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons