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The low-energy electronic structure of materials is crucial to understanding and modeling their physical properties. Angle-resolved photoemission spectroscopy (ARPES) is the best experimental technique to measure this electronic structure, but its interpretation can be delicate. Here we use a combination of density functional theory (DFT) and one-step model of photoemission to decipher the soft x-ray ARPES spectra of the quaternary borocarbide superconductor YNiBC. Our analysis reveals the presence of moderate electronic correlations beyond the semilocal DFT within the generalized gradient approximation. We show that DFT and the full potential Korringa-Kohn-Rostoker method combined with the dynamical mean field theory (DFT+DMFT) with average Coulomb interaction = 3.0 eV and the exchange energy = 0.9 eV applied to the Ni -states are necessary for reproducing the experimentally observed SX-ARPES spectra.
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http://dx.doi.org/10.1038/s42005-025-02180-4 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
Leibniz-Institut für Katalyse e.V. (LIKAT), Albert-Einstein-Str. 29a, Rostock 18059, Germany.
Metal-organic frameworks (MOFs) are transformative platforms for heterogeneous catalysis, but distinguishing atomically dispersed metal sites from subnanometric clusters remains a major challenge. This often demands the integration of multiple characterization techniques, many of which either lack the resolving power to distinguish active sites from their surrounding environments (e.g.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
State Key Laboratory of Space Power-Sources, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China.
Disordered rock-salt LiVO (DRX-LVO) anode exhibits distinctive 3D Li percolation transport networks, which offers the unique advantage for ultra-charging. However, the existing chemical lithiation preparation routes not only pose safety risks due to the use of highly reactive reagents but also inevitably result in products with poor crystallinity. Investigating the origin, impact, and strategies for crystallinity degradation is pivotal for advancing the industrialization of chemical lithiation.
View Article and Find Full Text PDFWater Res
August 2025
School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China. Electronic address:
Global phosphorus (P) resources are facing a depletion crisis, and pyrolysis of P-rich sewage sludge (SS) offers significant resource potential. Optimizing pyrolysis conditions remains key yet challenging for enhancing P retention and bioavailability. This study conducted a correlation-prediction-causation integrated framework (CPCIF) to investigate how heating temperature (HT), heating rate (HR), and retention time (RT) influence total P enrichment rate (BTPE), relative inorganic P transformation rate (BITP), and relative apatite P transformation rate (BAIP) from SS to biochar during pyrolysis.
View Article and Find Full Text PDFEur J Surg Oncol
August 2025
Royal Orthopaedic Hospital, Birmingham, United Kingdom.
Introduction: Pelvic bone sarcomas are rare, heterogeneous malignancies that present significant diagnostic and therapeutic challenges. Despite advances in imaging, surgical navigation, and multidisciplinary care, it remains unclear whether these innovations have improved outcomes across all histiotypes.
Material And Methods: We conducted a retrospective cohort study of 475 patients surgically treated for primary pelvic bone sarcomas between 2003 and 2022.
J Chromatogr A
August 2025
Department of Analytical Chemistry, Faculty of Chemistry, Universitat de València, Avda. Vicent Andrés Estellés s/n, 46100 Burjassot, Spain.
Liquid chromatography has advanced considerably since its introduction in the 1970s, with reversed-phase liquid chromatography (RPLC) becoming the dominant technique for separating non-volatile molecules. A key strategy for optimising separation conditions is the modelling of chromatographic retention from experimental data. Traditionally, this is achieved by fitting model parameters for each solute, resulting in individual solute models (ISMs).
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