{"title":"Numerical simulation of the time fractional Gray-Scott model on 2D space domains using radial basis functions","authors":"Harshad Sakariya, Sushil Kumar","doi":"10.1007/s10910-023-01571-8","DOIUrl":null,"url":null,"abstract":"<div><p>The Gray-Scott system describes one of the crucial components of the reaction-diffusion system. Its mathematical model has a couple of non-linear partial differential equations that are challenging to solve numerically. The present study is concerned with the numerical solution of the time-fractional Gray-Scott model in arbitrary-shaped domains utilizing the finite difference approximation and radial basis functions (RBFs) based collocation method for time and space directions, respectively. The patterns are created in the domains that denote the leftover chemical component concentrations at a specific time in the system. We also witness the effects of the time-fractional order <span>\\((\\alpha )\\)</span> and diffusion constants (<span>\\(K_u\\)</span> and <span>\\(K_v\\)</span>) on the model. This study asserts that chemical reactions between two substances manifest chaotic and unpredictable behavior. Investigating the influence of time-fractional order introduces an intriguing avenue for exploring novel patterns and behaviors within this context. Furthermore, the proposed algorithm can be used to solve the model and generate novel patterns by altering the parameter values or geometric configurations in any space dimension.</p></div>","PeriodicalId":648,"journal":{"name":"Journal of Mathematical Chemistry","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-01-27","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/s10910-023-01571-8","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 Gray-Scott system describes one of the crucial components of the reaction-diffusion system. Its mathematical model has a couple of non-linear partial differential equations that are challenging to solve numerically. The present study is concerned with the numerical solution of the time-fractional Gray-Scott model in arbitrary-shaped domains utilizing the finite difference approximation and radial basis functions (RBFs) based collocation method for time and space directions, respectively. The patterns are created in the domains that denote the leftover chemical component concentrations at a specific time in the system. We also witness the effects of the time-fractional order \((\alpha )\) and diffusion constants (\(K_u\) and \(K_v\)) on the model. This study asserts that chemical reactions between two substances manifest chaotic and unpredictable behavior. Investigating the influence of time-fractional order introduces an intriguing avenue for exploring novel patterns and behaviors within this context. Furthermore, the proposed algorithm can be used to solve the model and generate novel patterns by altering the parameter values or geometric configurations in any space dimension.
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.