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Predicting Magnetic Barriers in Lanthanide Complexes with Electrostatic Potential Charges.

Samuel A Fosu1, Vsevolod D Dergachev2, Daria D Nakritskaia2

  • 1Department of Chemical and Materials Engineering, University of Nevada Reno, Reno, Nevada 89557, United States.

The Journal of Physical Chemistry. A
|December 23, 2024
PubMed
Summary
This summary is machine-generated.

Researchers identified a correlation to predict magnetic relaxation barriers in single-molecule magnets (SMMs). This finding aids in developing advanced materials for data storage and quantum computing applications.

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Area of Science:

  • Materials Science
  • Quantum Computing
  • Nanotechnology

Background:

  • Single-molecule magnets (SMMs) are crucial for high-density data storage and quantum computers.
  • High blocking temperatures (above liquid nitrogen) and slow magnetization relaxation are key SMM properties.
  • Accelerating the discovery of high-performance SMMs requires accurate prediction of magnetic properties.

Purpose of the Study:

  • To explore correlations between effective magnetic relaxation barrier (Ueff) and molecular properties.
  • To identify strategies for optimizing ligand environments in lanthanide-based SMMs.
  • To establish a predictive model for Ueff in SMMs.

Main Methods:

  • Density functional theory (DFT) and multireference calculations were employed.
  • Correlations between Ueff, partial atomic charges, and anisotropic barriers were investigated.
  • Systematic modifications of ligands in sandwich-type lanthanide complexes were performed.

Main Results:

  • A correlation was found between the electrostatic potential charge of the lanthanide ion and Ueff.
  • Reducing ligand nucleophilicity and using soft bases enhanced magnetic anisotropy and Ueff.
  • Ligand modifications significantly influence the magnetic properties of SMMs.

Conclusions:

  • A predictive correlation for Ueff in lanthanide-based SMMs was identified.
  • Ligand design is a critical factor in optimizing SMM performance.
  • This work facilitates the rational design of advanced SMMs for technological applications.