Related Experiment Video
Updated: Sep 24, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
An Improved Self-Adaptive Differential Evolution with the Neighborhood Search Algorithm for Global Optimization of
Wei-Hua Yang1, Ya-Meng Li1, Jian-Xiang Bi1
1Department of Physics, Xiamen University, Xiamen 361005, China.
An improved algorithm enhances the global optimization of bimetallic cluster structures, offering faster convergence and higher search capability for predicting complex atomic arrangements.
Area of Science:
- Computational chemistry
- Materials science
- Chemical physics
Background:
- Global optimization of multicomponent clusters is challenging due to numerous isomers.
- Efficient algorithms are crucial for predicting bimetallic cluster structures.
Purpose of the Study:
- To introduce an improved self-adaptive differential evolution with neighborhood search (SaNSDE) algorithm.
- To apply the enhanced SaNSDE for global optimization of bimetallic cluster structures.
- To compare the performance against the traditional SaNSDE algorithm.
Main Methods:
- Developed an optimized cross operation and integrated an improved basin hopping module into SaNSDE.
- Applied the algorithm to predict structures of (PtNi)38 and (PtNi)55 bimetallic clusters.
- Evaluated cluster stability using excess energy and second energy difference; characterized structures with bond order parameters.
Main Results:
- The improved SaNSDE algorithm demonstrated superior searching capability and faster convergence compared to the traditional SaNSDE.
- (PtNi)38 clusters adopted truncated octahedral and disordered configurations.
- (PtNi)55 clusters predominantly exhibited icosahedral structures.
Conclusions:
- The enhanced SaNSDE algorithm significantly improves the efficiency of global optimization for multicomponent clusters.
- This work advances the development of optimization algorithms and structural prediction methods for bimetallic systems.
More Related Videos
07:47Reverse Microemulsion-mediated Synthesis of Monometallic and Bimetallic Early Transition Metal Carbide and Nitride Nanoparticles
Published on: November 27, 2015
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
Related Concept Videos
Biasing of Metal-Semiconductor Junctions
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...