A Novel Identification of the Extended-Rydberg Potential Energy Function
- 作者: Surulere S.A.1, Shatalov M.Y.1, Mkolesia A.C.1, Ehigie J.O.2
 - 
							隶属关系: 
							
- Department of Mathematics and Statistics, Tshwane University of Technology
 - Department of Mathematics and Statistics, University of Lagos
 
 - 期: 卷 59, 编号 8 (2019)
 - 页面: 1351-1360
 - 栏目: Article
 - URL: https://journals.rcsi.science/0965-5425/article/view/180760
 - DOI: https://doi.org/10.1134/S0965542519080153
 - ID: 180760
 
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详细
The Extended-Rydberg potential has wide applicability in determining the properties of diatomic molecules. In this paper, we estimate the Extended-Rydberg potential using a novel approach based on the objective least square functions of differential, integral-differential and integral approaches for the estimation of the potential. Interesting research results are obtained as the numerical differentiation (differential approach), integration (integral-differential and integral approach) are in agreement with the experimental data sets of gold atoms. It is a well-known fact that the more parameters a semiempirical interatomic potential has, the more flexible and accurate it is for experimental curve fitting but it takes longer computational time. We establish via CPU time the efficiency and novelty of our approach for the five-parameter Extended-Rydberg potential.
作者简介
Samuel Surulere
Department of Mathematics and Statistics, Tshwane University of Technology
							编辑信件的主要联系方式.
							Email: samuel.abayomi.sas@gmail.com
				                					                																			                												                	南非, 							Pretoria, 0001						
Michael Shatalov
Department of Mathematics and Statistics, Tshwane University of Technology
														Email: samuel.abayomi.sas@gmail.com
				                					                																			                												                	南非, 							Pretoria, 0001						
Andrew Mkolesia
Department of Mathematics and Statistics, Tshwane University of Technology
														Email: samuel.abayomi.sas@gmail.com
				                					                																			                												                	南非, 							Pretoria, 0001						
Julius Ehigie
Department of Mathematics and Statistics, University of Lagos
														Email: samuel.abayomi.sas@gmail.com
				                					                																			                												                	尼日利亚, 							Akoka, 100213						
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