Dissertation > Excellent graduate degree dissertation topics show

Genetic Algorithm Investigation of the Stable Structure of Pt-based Alloy Nanoparticles

Author: WangZuoNa
Tutor: ShaoGuiFang;LiuZuoDong
School: Xiamen University
Course: Pattern Recognition and Intelligent Systems
Keywords: Genetic Algorithm Alloy Nanoparticles Stable Structure
CLC:
Type: Master's thesis
Year: 2014
Downloads: 0
Quote: 0
Read: Download Dissertation

Abstract


Since the reasons that platinum group metals have a better catalytic performance than other metals and that alloy nanoparticles show superior catalytic activity and stability than single metal nanopartiles, it has a very important significance to conduct a comprehensive investigation of the stable structure of platinum group alloy nanoparticles. At present, the study of the stable structure of alloy nanoparticles is mainly concentrated on Monte Carlo method, whereas the evolutionary algorithm is rarely used. In this paper, we carry out the research because of the lack of evolutionary algorithms and the incomprehensive of stable structure of platinum alloy nanopartiles.Firstly, the Q-SC many-body potential model is used to describe the interaction between atoms. And genetic algorithm is designed, including the acquisition of initial configuration, the determination of fitness function, selection probability, crossover probability, mutation probability and the termination conditions.Meanwhile, we also provide the coding implementation method and pseudo code of genetic algorithm.Secondly, by analyzing the convergence, stability and parameters of genetic algorithm, we reach the conclusion that genetic algorithm has prominently better convergent performance than Monte Carlo method; Genetic algorithm also has a good stability; Population size has a positive influence on algorithm convergence speed and has no effect on final energy; The coordinates are orderly or not have positive influence on algorithm convergence speed and final energy; Cross regional changes or not have no influence on final energy and the effect on the algorithm convergence is random.Finally, the sectional structure and final energy are analyzed. The results show that genetic algorithm obtains better results than Monte Carlo method. What is more, in the final stable structure, Pd atoms as a whole tend to be distributed in the outermost layers of the structure, Pt atoms tend to distribute in the middle layers of the structure, and Rh atoms tend to distribute in the core of the structure.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  3. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  4. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  5. Mining resources based on genetic algorithm optimization model of,O224
  6. Optimum Research on Runner System in Bi-color Injection Mold Based on Genetic Algorithm and Moldflow,TQ320.52
  7. Study on Optimization of Energy Structure and Countermeasures of New Energy Development During "The Twelfth Five-Year Plan",F206;F224
  8. The magnetorheological damper mechanical properties and Gun Recoil,TB535.1
  9. A Density Functional Theory Study for Wn C0,± （n=1-6） Clusters,O641.1
  10. Optimization Study on Gating System and Molding Process Parameters of Injection Mold Based on Simulation,TQ320.662
  11. The Application Research of City Meteorological Forecast Based on Genetic Neural Network,P45
  12. Application Research of Genetic Neural Network in Surface Water Evaluation,X824
  13. The Control Design of the AS/RS Based on the Embedded Motion Controller,TP273.5
  14. The Research of Intelligent Car Path Planning Based on the Genetic Algorithm,TP242
  15. Numerical Simulation and Optimal Design of Longitudinal Roadheader’s External Spray,TD714.4
  16. Steady-State Optimization of Grinding Process Based on NSGA Ⅱ Algorithm,TD921.4
  17. The Method Research and Application on Electronic Equipment Fault Diagnosis,TN710
  18. Research on Logistics Information Management System Based on Networked Manufacturing,F253.9
  19. Research on the Problem of Multi-objective Flexible Job Shop Scheduling Optimization,O224
  20. Research and Application of the Task Assignment Problem Based on PDM,TP315
  21. Intelligent Decoupling and Control Research of Looper Height and Tension in Hot Continuous Rolling Mill,TP273

CLC: >
© 2012 www.DissertationTopic.Net  Mobile