Magnetic materials interfaced with superconductors may reveal new physical phenomena with potential for quantum technologies. The use of molecules as magnetic components has already shown great promise, but the diversity of properties offered by the molecular realm remains largely unexplored. Here we investigate a submonolayer of tetrairon(III) propeller-shaped single molecule magnets deposited on a superconducting lead surface. This material combination reveals a strong influence of the superconductor on the spin dynamics of the single molecule magnet. It is shown that the superconducting transition to the condensate state switches the single molecule magnet from a blocked magnetization state to a resonant quantum tunnelling regime. Our results open perspectives to control single molecule magnetism via superconductors and to use single molecule magnets as local probes of the superconducting state.
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http://dx.doi.org/10.1038/s41563-020-0608-9 | DOI Listing |
Phys Rev Lett
December 2024
Department of Physics, Durham University, South Road, Durham DH1 3LE, United Kingdom.
Many experimental platforms for quantum science depend on state control via laser fields. Frequently, however, the control fidelity is limited by optical phase noise. This is exacerbated in stabilized laser systems where high-frequency phase noise is an unavoidable consequence of feedback.
View Article and Find Full Text PDFAnal Chem
January 2025
Separation Science Group, Department of Organic and Macromolecular Chemistry, Ghent University, Krijgslaan 281 S4bis, B-9000 Ghent, Belgium.
Addressing the global challenge of ensuring access to safe drinking water, especially in developing countries, demands cost-effective, eco-friendly, and readily available technologies. The persistence, toxicity, and bioaccumulation potential of organic pollutants arising from various human activities pose substantial hurdles. While high-performance liquid chromatography coupled with high-resolution mass spectrometry (HPLC-HRMS) is a widely utilized technique for identifying pollutants in water, the multitude of structures for a single elemental composition complicates structural identification.
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China.
In recent years, researchers have drawn inspiration from natural ion channels to develop various artificial nanopores/nanochannels, including solid-state and biological. Through imitating the precise selectivity and single molecule sensing exhibited by natural ion channels, nanopores/nanochannels have been widely used in many fields, such as analyte detection, gene sequencing and so on. In these applications, the surface functionalization of nanopores/nanochannels directly determines the effectiveness in quantitative analysis and single molecule detection.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Tau is a neuronal microtubule associated protein whose interactions with microtubules are regulated by phosphorylation. Tau has numerous putative phosphorylation sites, but it is unclear which combinations of Tau phosphorylation co-occur in the normal state and precisely how they impact Tau function. Adding further complexity, there are six major Tau isoforms arising from alternative splicing.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Computer Science, Hunan University, Changsha 410008, China.
Recently, the impressive performance of large language models (LLMs) on a wide range of tasks has attracted an increasing number of attempts to apply LLMs in drug discovery. However, molecule optimization, a critical task in the drug discovery pipeline, is currently an area that has seen little involvement from LLMs. Most of existing approaches focus solely on capturing the underlying patterns in chemical structures provided by the data, without taking advantage of expert feedback.
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