Nonlinear Science is a peer-reviewed journal which publishes papers that are scientifically sound, technically correct and report original research in the field of nonlinear science in a broad sense.Original manuscripts on theoretical, experimental and numerical results in nonlinear science are encouraged, coming from mathematics, physics, engineering or any related fields.Nonlinear Science welcomes the submission of three types of papers:research articlesshort communicationsreviewsThe journal publishes topics including: bifurcation, attractors and chaossynchronization and control of nonlinear systemsnonlinear analysis and differential equationsexperimental and observational studies, e.g., measurement of ocean wavesnumerical methods and computational physics, e.g., fluid flow, structural dynamics, biology etc.analysis and modelling of nonlinear problems in natural science and engineering application, e.g., celestial body motion, climate change and offshore wind energydata-driven science, simulation and application, e.g., model-building, machine learning, data analysis, time series and signal analysiscomplexity and networks: complex, social, biological, physical, electrical, mechanical etc.epidemiology: modelling, dynamics and controlquantification and computation of social communication, behaviours and dynamics
Recognized by the European Physical SocietyPhysica A: Statistical Mechanics and its Applications publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems, or the large scale, by studying the statistical properties of the microscopic or nanoscopic constituents. Applications of the concepts and techniques of statistical mechanics include: applications to physical and physiochemical systems such as solids, liquids and gases, interfaces, glasses, colloids, complex fluids, polymers, complex networks, applications to economic and social systems (e.g. socio-economic networks, financial time series, agent based models, systemic risk, market dynamics, computational social science, science of science, evolutionary game theory, cultural and political complexity), and traffic and transportation (e.g. vehicular traffic, pedestrian and evacuation dynamics, network traffic, swarms and other forms of collective transport in biology, models of intracellular transport, self-driven particles), as well as biological systems (biological signalling and noise, biological fluctuations, cellular systems and biophysics); and other interdisciplinary applications such as artificial intelligence (e.g. deep learning, genetic algorithms or links between theory of information and thermodynamics/statistical physics.).Physica A does not publish research on mathematics (e.g. statistics) or mathematical methods (e.g. solving differential equations) unless an original application to a statistical physics problem is included. Also research on fluid mechanics intended for an engineering readership as well as ordinary economic/econometrical studies falls outside the scope of Physica A .Specific subfields covered by the journal are statistical mechanics applications to:Soft matterBiological systems and systems biologyChemical systemsEconophysics and sociophysicsTraffic and transportationPhase transitionsComplex systemsDeep learning, genetic algorithms and other methods of AIBenefits to authors We 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 Center