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Perturbative considerations account for the properties of conventional metals, including the range of temperatures where the transport scattering rate is 1/ = 2, where is a dimensionless strength of the electron-phonon coupling. The fact that measured values satisfy ≲ 1 has been noted in the context of a possible "Planckian" bound on transport. However, since the electron-phonon scattering is quasielastic in this regime, no such Planckian considerations can be relevant. We present and analyze Monte Carlo results on the Holstein model which show that a different sort of bound is at play: a "stability" bound on consistent with metallic transport. We conjecture that a qualitatively similar bound on the strength of residual interactions, which is often stronger than Planckian, may apply to metals more generally.
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http://dx.doi.org/10.1073/pnas.2216241120 | DOI Listing |
J Phys Chem Lett
September 2025
Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei 106, Taiwan.
Sugarcane () was employed as a sustainable carbon source to synthesize three-dimensional (3D) spherical manganese carbonate (MnCO) microspheres, offering a green route to advanced electrode material for high-energy-density symmetric supercapacitors. Although numerous synthesis strategies and material modifications have been explored, a detailed evaluation of environmentally friendly synthesis pathways remains essential. In this study, MnCO microspheres were successfully synthesized via a sugar-derived green synthesis followed by hydrothermal treatment.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian, 350108, P. R. China.
The construction of strong metal-support interactions (SMSI) is an effective strategy to enhance and control heterogeneous catalysts. However, conventional methods require pre-synthesized metal-loaded catalysts, followed by SMSI formation via high-temperature treatment under oxidative/reductive atmospheres, adsorbate-mediated treatment, and photo-treatment, adding complexity to catalyst synthesis and hindering continuous interfacial tuning. In this work, a "photobreeding" method is employed to treat ZnCdS, leveraging the UV-induced photochromic reaction of ZnS to generate metallic Zn at room temperature, while CdS remains inert.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China.
Electrochemical synthesis of ammonia (NH) is a promising green alternative to the conventional Haber-Bosch process. Here, we report the synthesis of a heteroatomic metal-metal bonded dual atomic (DA) Mn-Cu catalytic site embedded within nitrogen-doped carbon (NC) matrix for high-performance electrochemical reduction of N to NH. The asymmetric electronic distribution localized at the dual atomic sites synergistically enhances the adsorption and activation of N, facilitating the complex proton-coupled electron transfer process.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
In this work, we present a machine learning (ML) approach for predicting the optimal range separation parameters in transition metal complexes (TMCs), aiming to reduce the computational cost associated with optimally tuned range-separated hybrid (OT-RSH) functionals while preserving their accuracy. A data set containing 4380 TMCs was constructed by screening the tmQM database, with each TMC represented by a 62 087-dimensional multiple-fingerprint feature (MFF) vector and labeled with its optimally tuned range separation parameter. Multiple regression models were applied to train the prediction model, and the support vector machine (SVM) model yielded the best performance.
View Article and Find Full Text PDFMikrochim Acta
September 2025
Affordable and Sustainable Sample Preparation (AS2P) Research Group, Departamento de Química Analítica, Instituto Químico para la Energía y el Medioambiente IQUEMA, Universidad de Córdoba, Campus Universitario de Rabanales, Edificio Marie Curie, E-14071, Córdoba, Spain.
Stainless-steel substrates have grown in importance in the development of planar sorptive phases. However, the reduced wettability of polished sheets makes difficult their functionalization. This limitation can be solved by using amorphous silica gel microparticles as superficial guides.
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