First-principle density functional theory is used for studying the anion gold clusters doped with magnesium atom. By performing geometry optimizations, the equilibrium geometries, relative stabilities, and electronic and magnetic properties of [Au(n)Mg]⁻ (n = 1-8) clusters have been investigated systematically in comparison with pure gold clusters. The results show that doping with a single Mg atom dramatically affects the geometries of the ground-state Au(n+1)⁻ clusters for n = 2-7. Here, the relative stabilities are investigated in terms of the calculated fragmentation energies, second-order difference of energies, and highest occupied−lowest unoccupied molecular orbital energy gaps, manifesting that the ground-state [Au(n)Mg]⁻ and Au(n+1)⁻ clusters with odd-number gold atoms have a higher relative stability. In particular, it should be noted that the [Au₃Mg]⁻ cluster has the most enhanced chemical stability. The natural population analysis reveals that the charges in [Au(n)Mg]⁻ (n = 2-8) clusters transfer from the Mg atom to the Au frames. In addition, the total magnetic moments of [Au(n)Mg]⁻ clusters exhibit an odd-even oscillation as a function of cluster size, and the magnetic effects mainly come from the Au atoms.
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January 2025
Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, P. R. China.
The propensity of zinc (Zn) to form irregular electrodeposits at liquid-solid interfaces emerges as a fundamental barrier to high-energy, rechargeable batteries that use zinc anodes. So far, tremendous efforts are devoted to tailoring interfaces, while atomic-scale reaction mechanisms and the related nanoscale strain at the electrochemical interface receive less attention. Here, the underlying atomic-scale reaction mechanisms and the associated nanoscale strain at the electrochemical alloy interface are investigate, using gold-zinc alloy protective layer as a model system.
View Article and Find Full Text PDFTalanta
December 2024
College of Chemistry and Molecular Engineering. Qingdao University of Science and Technology, Qingdao, 266042, China. Electronic address:
In this work, a new dual-signal fluorescence strategy based on nano-gold molecular beacon (MB) and in-situ generated silver nano-clusters (NCs) coupled with multiple amplification technique was developed for sensitive detection of miRNA (let-7b). miRNA can recognize both hairpin probe (HP) and auxiliary DNA, inducing dual-cycle amplification-process to release plenty of DNA S2. As the report probe carboxyfluorescein (FAM) was modified on Au nanoparticles (AuNPs), the fluorescent signal was quenched due to the fluorescence resonance energy transfer (FRET).
View Article and Find Full Text PDFJ Magn Reson Imaging
December 2024
Department of Radiology, Stanford University, Stanford, California, USA.
Background: Post-traumatic osteoarthritis (PTOA) often follows anterior cruciate ligament reconstruction (ACLR), leading to early cartilage degradation. Change in mean T fails to capture subject-specific spatial-temporal variations, highlighting the need for robust quantitative methods for early PTOA detection and monitoring.
Purpose/hypothesis: Develop and apply 3D T cluster analysis to ACLR and healthy knees over 2.
Nat Comput Sci
December 2024
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Machine learning plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules; however, most existing machine learning models for molecular electronic properties use density functional theory (DFT) databases as ground truth in training, and their prediction accuracy cannot surpass that of DFT. In this work we developed a unified machine learning method for electronic structures of organic molecules using the gold-standard CCSD(T) calculations as training data. Tested on hydrocarbon molecules, our model outperforms DFT with several widely used hybrid and double-hybrid functionals in terms of both computational cost and prediction accuracy of various quantum chemical properties.
View Article and Find Full Text PDFInfect Control Hosp Epidemiol
December 2024
Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Objective: Whole genome sequencing (WGS) can help identify transmission of pathogens causing healthcare-associated infections (HAIs). However, the current gold standard of short-read, Illumina-based WGS is labor and time intensive. Given recent improvements in long-read Oxford Nanopore Technologies (ONT) sequencing, we sought to establish a low resource approach providing accurate WGS-pathogen comparison within a time frame allowing for infection prevention and control (IPC) interventions.
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