{"title":"Efficient numerical schemes for the conserved Allen-Cahn phase-field surfactant system based on high order supplementary variable method","authors":"Mengchun Yuan , Qi Li , Liquan Mei","doi":"10.1016/j.cnsns.2025.109094","DOIUrl":null,"url":null,"abstract":"<div><div>Numerous accurate, efficient, and robust numerical schemes for phase-field surfactant models have been developed, with those ensuring energy stability being particularly attractive. Unconditional energy stability refers to numerical stability without any restrictions on the time step size. Recent research has concentrated on methods such as convex splitting, invariant energy quadratization (IEQ), scalar auxiliary variable (SAV), and Lagrange multiplier methods, which are generally unconditionally energy stable but mostly guarantee modified energy dissipation and are second-order accurate in time. This is often insufficient to meet the high-precision demands of long-term simulations. This paper presents a class of high-order numerical schemes based on the supplementary variable method (SVM) combined with the Runge–Kutta (RK) method. These schemes preserve the original energy dissipation law and can achieve arbitrarily high-order time accuracy. Benchmark numerical examples are provided to illustrate the accuracy and efficiency of these schemes.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"151 ","pages":"Article 109094"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425005052","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Numerous accurate, efficient, and robust numerical schemes for phase-field surfactant models have been developed, with those ensuring energy stability being particularly attractive. Unconditional energy stability refers to numerical stability without any restrictions on the time step size. Recent research has concentrated on methods such as convex splitting, invariant energy quadratization (IEQ), scalar auxiliary variable (SAV), and Lagrange multiplier methods, which are generally unconditionally energy stable but mostly guarantee modified energy dissipation and are second-order accurate in time. This is often insufficient to meet the high-precision demands of long-term simulations. This paper presents a class of high-order numerical schemes based on the supplementary variable method (SVM) combined with the Runge–Kutta (RK) method. These schemes preserve the original energy dissipation law and can achieve arbitrarily high-order time accuracy. Benchmark numerical examples are provided to illustrate the accuracy and efficiency of these schemes.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.