Journal Guide

Aims: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, Chaos and encryption, 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.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

computational biology, bioinformatics, computational chemistry, computation in engineering, computational fluid dynamics, molecular dynamics

Social networks, Social computing, Mathematics of social networks, Computational aspects of social networks, Therory of social computing

Computational & Mathematical Organization Theory has been accepted for Social Sciences Citation Index, Science Citation Index Expanded, and Current Contents/Social & Behavioral Sciences, and will first appear with an Impact Factor in the Journal Citation Reports 2010, published in 2011. Computational & Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for inte

The journal Computer Aided Geometric Design is for researchers, scholars, and software developers dealing with mathematical and computational methods for the description of geometric objects as they arise in areas ranging from CAD/CAM to robotics and scientific visualization. The journal publishes original research papers, survey papers and with quick editorial decisions short communications of at most 3 pages. The primary objects of interest are curves, surfaces, and volumes such as splines (NURBS), meshes, subdivision surfaces as well as algorithms to generate, analyze, and manipulate them. This journal will report on new developments in CAGD and its applications, including but not restricted to the following:Mathematical and Geometric FoundationsCurve, Surface, and Volume generationCAGD applications in Numerical Analysis, Computational Geometry, Computer Graphics, or Computer VisionIndustrial, medical, and scientific applicationsThe aim is to collect and disseminate information on computer aided design in one journal. To provide the user community with methods and algorithms for representing curves and surfaces. To illustrate computer aided geometric design by means of interesting applications. To combine curve and surface methods with computer graphics. To explain scientific phenomena by means of computer graphics. To concentrate on the interaction between theory and application. To expose unsolved problems of the practice. To develop new methods in computer aided geometry.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).The following are the principal areas of interest of the journal:Modeling using PDEs.Analysis of mathematical models, formulated in terms of PDEs.Discretization Methods and Numerical Analysis for PDEs.Numerical linear and nonlinear algebra. Fast numerical algorithms.Algorithms and Data Structures. Adaptivity. Computational Geometry.Software Design, Code verification and Quality Assurance (QA).Verification and Validation.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.The common element in all these scientific areas which this Journal addresses is the methodology for determining viable solutions to problems, using computers and the techniques of operations research. However, it is not only the mathematical methodology which is of interest: the applications are of equal importance. The two are mutually supportive, since understanding the application helps one greatly to comprehend the mathematical methods used, and vice versa.This Journal will therefore concern itself with these scientific fields of application, and will be accordingly broad in scope of subject matter. The form, content and language of the articles will take cognizance of this breadth of applications and of the consequent fact that many readers may not be expert in the particular scientific field to which the computer and operations research techniques are applied by the author. All full-length research papers must contain original research results, and demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. In addition, the research performed should represent novel and significant work relative to the relevant literature. It is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions which do not satisfythese criteria may be rejected without being sent to reviewers.Other paper types include:Case Studies:This Journal will also publish articles containing interesting real applications, even though there may be no new techniques involved. These should be labeled as case studies. It is important that they be actual cases of interest and significance which the authors were asked to analyze. In addition, the focus on algorithmic results should be emphasized.Review Papers and Tutorials (by invitation only):The content and presentation of this international Journal is such as to provide maximum utility to researchers, teachers and practitioners who have an interest in operations research, computers and the subject matter of the fields of application served by these. Tutorial and state-of-the-art papers will be presented from time to time, as deemed suitable. Emphasis will be given to those science areas of public importance, in which significant advances are being made by means of computers and operations research.Focused Issue Papers:Computers & Operations Research also publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen month period under the responsibility of one or several guest editors. Any contribution submitted by a guest editor is handled by the Editor of C&OR. Prospective guest editors are encouraged to contact the Editor, Professor Stefan Nickel.

Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.With the modern use of computers and numerical methods to model and solve problems, the traditional boundaries between the fields of solid/structural mechanics and fluid mechanics hardly exist any longer, and multiphysics problems are solved that involve all aspects of mechanics. The word 'structures' must therefore now be interpreted in a broad sense including solids, fluids and multiphysics.Computers & Structures publishes papers in these fields that either present novel and quite general techniques, or offer substantial new insights into important methods. If a paper presents novel techniques, some comparison with known advanced methods is necessary. If a paper is to provide substantial new insights into advanced methods, then this can be achieved by strong numerical experiments, some mathematical analysis, and/or comparisons with well-designed physical test data. In either case, the paper must contribute to advancing the state of the art.The focus of Computers & Structures is on having an impact on the practice of simulations in mechanics as found in many industries and research endeavours, including the fields of engineering, such as civil and environmental, mechanical, biomechanical, automotive, aeronautical, and ocean engineering, and including the various fields of the sciences.In these areas, papers are sought on the automatic solution of mathematical models of 'structures' in the broadest sense, possibly including phenomena of multiphysics, multiscale, and uncertainties. Also, papers presenting algorithms for optimization and the simulation of complete life cycles of systems are sought.Established in 1971, and with online submission and review launched in 2006, Computers & Structures is indispensable for researchers and practitioners in academic, governmental and industrial communities.Related Conferences: can be accessed via the links on the right menu bar, under Related websites.

Devoted to computational sciences - a field of a major and continually growing importance for both research and applications, this journal provides the ideal platform for scientists eager to cooperate in solving scientific and technological challenges. The aim is to link professionals from the diverse fields of mathematics computer science physics chemistry environmental sciences biosciences engineering. The rapid development of computer technology has opened up new perspectives, increased the importance of mathematical models and created an urgent need for efficient algorithms. Reflecting these trends, the journal has set itself the goal of publishing pioneering methods and applications which precipitate the solution of complex problems - or even make such solutions possible at all. Since visualization has become an important scientific tool, especially in the analysis of complex situations, it is treated in close connection with the other areas covered by the journal. These areas include: - mathematical modeling and analysis of model systems - numerical methods and algorithms - development of simulation software - optimization and control - parallel computing - visualization and image analysis - computational physics and chemistry - structural mechanics - fluid dynamics - environmental sciences - computation in biosciences and medicine - modeling and computation in engineering As well as publishing this exciting material in print form, Computing and Visualization in Science will also make the documents available to subscribers electonically via a server.

Concurrent Engineering: Research and Applications (CERA) provides quality articles on all aspects computer-aided concurrent engineering (CE). The journal deals with all basic tracks that enable CE, including: information modeling, teaming & sharing, networking & distribution,planning & scheduling, reasoning & negotiation, collaborative decision making, and organization and management of CE.

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.

The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.