{"title":"An efficient approximation algorithm for the nonlinear reaction: diffusion equations in an electro catalytic thin film models using Hosoya polynomials","authors":"M. Bhuvaneswari, V. Vinoba, G. Hariharan","doi":"10.1007/s10910-025-01728-7","DOIUrl":null,"url":null,"abstract":"<div><p>The paper discusses a mathematical model for non-Michaelis–Menten kinetics, which involves a substrate forming a complex with the immobilized catalyst. A new Hosoya polynomial approximation method (HPAM) is applied for solving the reaction–diffusion equations. Analytical expressions are established to the nonlinear reaction–diffusion equation arising in electro catalytic thin film with an arbitrary shape models using the Hosoya polynomials. The main idea of the proposed research work is that the nonlinear reaction–diffusion problems are converted into a system of algebraic equations using the Hosoya polynomials. Analytical expressions for substrate concentration profiles are derived in closed and simplified forms for various geometries (planar, cylindrical, and spherical), along with the corresponding steady-state amperometric current response. The proposed results are validated with the other available results. Moreover, the utility of HPAM is investigated to be simple, straight forward, efficient and flexible. Also, the paper examines how different parameters influence the substrate concentration in the above models.</p></div>","PeriodicalId":648,"journal":{"name":"Journal of Mathematical Chemistry","volume":"63 6","pages":"1475 - 1495"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10910-025-01728-7","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The paper discusses a mathematical model for non-Michaelis–Menten kinetics, which involves a substrate forming a complex with the immobilized catalyst. A new Hosoya polynomial approximation method (HPAM) is applied for solving the reaction–diffusion equations. Analytical expressions are established to the nonlinear reaction–diffusion equation arising in electro catalytic thin film with an arbitrary shape models using the Hosoya polynomials. The main idea of the proposed research work is that the nonlinear reaction–diffusion problems are converted into a system of algebraic equations using the Hosoya polynomials. Analytical expressions for substrate concentration profiles are derived in closed and simplified forms for various geometries (planar, cylindrical, and spherical), along with the corresponding steady-state amperometric current response. The proposed results are validated with the other available results. Moreover, the utility of HPAM is investigated to be simple, straight forward, efficient and flexible. Also, the paper examines how different parameters influence the substrate concentration in the above models.
期刊介绍:
The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches.
Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.