Structure and energetics of equiatomic K-Cs and Rb-Cs binary clusters.

J Chem Phys

Physical and Theoretical Chemistry, University of Saarland, 66123 Saarbrucken, Germany.

Published: June 2008

The basin-hopping algorithm combined with the Gupta many-body potential is used to study the structural and energetic properties of (KCs)(n) and (RbCs)(n) bimetallic clusters with N=2n up to 50 atoms. Each binary structure is compared to those of the pure clusters of the same size. For the cluster size N=28 and for the size range of N=34-50, the introduction of K and Rb atoms in the Cs alkali metal cluster results in new ground state structures different from those of the pure elements. In the size range N>/=38 the binary and pure clusters show not only structural differences, but they also display different magic numbers. Most of the magic Rb-Cs and K-Cs clusters possess highly symmetric structures. They belong to a family of pIh structures, where a fivefold pancake is a dominant structural motif. Such geometries have not been reported for alkali binary clusters so far, but have been found for series of binary transition metal clusters with large size mismatch. Moreover, tendency to phase separation (shell-like segregation) is predicted for both K-Cs and Rb-Cs clusters with up to 1000 atoms. Our finding of a surface segregation in Rb-Cs clusters is different from that of theoretical and experimental studies on bulk Rb-Cs alloys where phase separation does not occur.

Download full-text PDF

Source
http://dx.doi.org/10.1063/1.2944244DOI Listing

Publication Analysis

Top Keywords

clusters
9
k-cs rb-cs
8
binary clusters
8
pure clusters
8
size range
8
phase separation
8
rb-cs clusters
8
rb-cs
5
binary
5
size
5

Similar Publications

Background: Systemic lupus erythematosus (SLE) is characterized by a range of symptoms that often cluster together, impacting the quality of life (QoL) of affected individuals.

Objective: To delineate the composition of symptom clusters in patients with SLE and analyze their correlation with QoL, thus providing a basis for symptom management.

Methods: Using convenience sampling, 201 patients were recruited.

View Article and Find Full Text PDF

Transition Metal Carbonitride MXenes Anchored with Pt Sub-Nanometer Clusters to Achieve High-Performance Hydrogen Evolution Reaction at All pH Range.

Nanomicro Lett

January 2025

Department of Chemical Engineering and Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia.

Transition metal carbides, known as MXenes, particularly TiCT, have been extensively explored as promising materials for electrochemical reactions. However, transition metal carbonitride MXenes with high nitrogen content for electrochemical reactions are rarely reported. In this work, transition metal carbonitride MXenes incorporated with Pt-based electrocatalysts, ranging from single atoms to sub-nanometer dimensions, are explored for hydrogen evolution reaction (HER).

View Article and Find Full Text PDF

Detecting the factors associated with financial decision-making is an unresolved challenge when trying to predict digital financial behavior. This paper reports experimental results on both neuropsychological and neuronal correlates of risk-taking and betrayal aversion among 121 healthy participants (X=21.7; SD = 2.

View Article and Find Full Text PDF

Smart home-assisted anomaly detection system for older adults: a deep learning approach with a comprehensive set of daily activities.

Med Biol Eng Comput

January 2025

Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009, Donostia-San Sebastián, Spain.

Smart homes have the potential to enable remote monitoring of the health and well-being of older adults, leading to improved health outcomes and increased independence. However, current approaches only consider a limited set of daily activities and do not combine data from individuals. In this work, we propose the use of deep learning techniques to model behavior at the population level and detect significant deviations (i.

View Article and Find Full Text PDF

Purpose: Mobile health plays an important role in providing individualized information about the health status of patients. Limited information exists on intensive care unit (ICU) patients with the risk of suffering from the post-intensive care syndrome (PICS), summarizing long-term physical, mental and cognitive impairment. This web-based survey study aims to identify specific needs of former ICU patients for utilizing a newly developed, so called Post-Intensive Care Outcome Surveillance (PICOS) app to collect relevant PICS-related parameters.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!