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Distortions in the local symmetry around Ln(III) ions in SMMs significantly impacts slow magnetic relaxation by introducing transverse crystal field parameters that enhance quantum tunnelling of the magnetisation (QTM). Minimising these distortions, often using macrocyclic or sterically hindered ligands, or by tuning intermolecular interactions, is essential for suppressing QTM. A less-explored strategy involves aligning the molecular symmetry elements within the crystal lattice to generate a high-symmetry crystal lattice with symmetry enforced bond angles and lengths. Here, we demonstrate that aligning the axes of [YbCl(PhAsO)] and [BPh] in [YbCl(PhAsO)]BPh (1) enforces tetragonal symmetry and a strict 180° Cl-Yb-Cl angle. In contrast, [YbCl(PhAsO)]PF (2) does not possess aligned molecular rotational axes and therefore lacks the crystallographically enforced symmetry leading to a smaller Cl-Yb-Cl angle. While both compounds exhibit similar slow relaxation of the magnetisation, due to efficient Raman relaxation processes, 2 shows a significant decrease in the calculated collinearity of the anisotropy axes of the excited Kramers doublets, alongside a change in the ground = ±7/2 state composition, with an increased admixture of the = ±½ states. These findings highlight the potential of crystallographically enforced symmetry in designing high-performance Yb(III)-based SMMs.
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http://dx.doi.org/10.1039/d5dt01565k | DOI Listing |
ACS Appl Mater Interfaces
September 2025
Key Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China.
Tailoring the crystalline structure and facet orientation of T-NbO anode electrodes is pivotal for optimizing the Li transport kinetics. Herein, a crystallization engineering strategy is employed to synthesize urchin-like T-NbO microspheres composed of single-crystalline whiskers growing along the (001) orientation. These whiskers are characterized by nearly 100% exposed vertical (001) facets that accelerate Li diffusion.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
The University of Tokyo, Research Center for Advanced Science and Technology, 4-6-1 Komaba, Meguro, Tokyo 153-8904, Japan.
Hopfions-higher-dimensional topological quasiparticles with sophisticated 3D knotted spin textures discovered in condensed matter and photonic systems-show promise in high-density data storage and transfer. Here, we present crystalline structures of hopfions lying in space-time constructed by spatiotemporally structured light. Practical methodologies using bichromatic structured light beams or dipole arrays to assemble 1D and higher dimensional hopfion lattices are proposed, and a technique for tailoring topological orders is elucidated.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Okayama University, Department of Physics, Okayama 700-8530, Japan.
The doped topological insulator Cu_{x}Bi_{2}Se_{3} has attracted considerable attention as a new platform for studying novel properties of spin-triplet and topological superconductivity. In this work, we performed synchrotron x-ray diffraction measurements on Cu_{x}Bi_{2}Se_{3} (0.24≤x≤0.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
European Laboratory for Non Linear Spectroscopy (LENS), Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche (CNR-INO), via Nello Carrara 1, 50019 Sesto Fiorentino, Italy and , via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
Single crystal x-ray diffraction measurements have been carried out on epsilon oxygen up to 30 GPa to examine the behavior of the constituent (O_{2})_{4} units. An isostructural phase transition is evidenced by lattice parameter and intracluster (O_{8}) distance discontinuities and clear changes in the equation of state at 18.1±0.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Selenium, as an important semiconductor material, exhibits significant potential for understanding lattice dynamics and thermoelectric applications through its thermal transport properties. Conventional empirical potentials are often unable to accurately describe the phonon transport properties of selenium crystals, which limits in-depth understanding of their thermal conduction mechanisms. To address this issue, this study developed a high-precision machine learning potential (MLP), with training datasets generated molecular dynamics simulations.
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