The geometrical structures, relative stabilities, electronic, and magnetic properties of zinc-doped gold cluster anions Au(n)Zn(-) (2 < or = n < or = 10) have been systematically investigated by means of first-principles density functional calculations at the B3LYP level. The results show that the most stable isomers have a planar structure and resemble pure gold cluster anions in shape, and no 3D isomers were obtained. Calculated dissociation energy, the second difference energy, and the highest occupied-lowest unoccupied molecular orbital gaps as a function of the cluster size exhibit a pronounced even-odd alternation phenomenon. The first vertical detachment energy of the anion clusters were calculated and compared with available experimental results. A good agreement between experimental and theoretical results suggests good prediction of the lowest-energy structures for all clusters calculated in the present study. Furthermore, both the local and total magnetic moments display a pronounced odd-even oscillation with the number of gold atoms.
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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.
View Article and Find Full Text PDFLancet Digit Health
January 2025
Biomedical Engineering Department, Duke University, Durham, NC, USA; Biostatistics and Bioinformatics Department, Duke University, Durham, NC, USA. Electronic address:
Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Although the use of smartphones and access to the internet supports the development of these studies, challenges exist in collecting representative data due to low adherence and retention. We aimed to identify key factors related to adherence and retention in digital health studies and develop a methodology to identify factors that are associated with and might affect study participant engagement.
View Article and Find Full Text PDFSemin Hematol
November 2024
Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address:
Etiological links to multiple myeloma (MM) remain poorly understood, though emerging evidence suggests a significant hereditary component. This review integrates current literature on inherited factors contributing to MM risk, synthesizing both epidemiologic and genomic data. We examine familial clustering patterns, assess genome-wide association studies (GWAS) that reveal common genetic variants linked to MM, and explore rare, high-penetrance variants in key susceptibility genes.
View Article and Find Full Text PDFInorg Chem
December 2024
College of Energy Materials and Chemistry, Inner Mongolia University, Hohhot 010021, China.
Ligand-stabilized metal nanoclusters with atomic precision are considered to be promising materials in the field of light-emitting and harvesting. Among these, nanoclusters with thermally activated delayed fluorescence (TADF) properties are highly sought after. While several gold and silver nanoclusters with TADF properties have been reported in recent years, research on copper counterparts has significantly lagged behind.
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