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Journals in Nonlinear statistical and mathematical physics general

  • Wave Motion

    • ISSN: 0165-2125
    Wave Motion is devoted to the cross fertilization of ideas, and to stimulating interaction between workers in various research areas in which wave propagation phenomena play a dominant role. The description and analysis of wave propagation phenomena provides a unifying thread connecting diverse areas of engineering and the physical sciences such as acoustics, optics, geophysics, seismology, electromagnetic theory, solid and fluid mechanics.The journal publishes papers on analytical, numerical and experimental methods. Papers that address fundamentally new topics in wave phenomena or develop wave propagation methods for solving direct and inverse problems are of interest to the journal.
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  • International Journal of Non-Linear Mechanics

    • ISSN: 0020-7462
    The International Journal of Non-Linear Mechanics provides a specific medium for the dissemination of high-quality research results in the various areas of applied, theoretical, and experimental nonlinear mechanics of solids, structures, and systems, where the phenomena are inherently nonlinear. The journal brings together original results in nonlinear elasticity, dynamics, nonlinear vibrations, wave propagation, rheology, nonlinear mechanics and stability of structures, smart structures, nonlinear vibration control and isolation, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, MEMS and NEMS, mechanics of traditional and advanced materials, mechanics of soft materials and soft robots, metamaterials, and other diverse areas, including multi-physics when nonlinear mechanics is relevant. Papers may be analytical, computational, or experimental in nature. Model validation is considered relevant for publication in this journal. Treatments of nonlinear differential equations wherein solutions are emphasized, but mechanical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions to both established and emerging fields are encouraged.
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  • Nonlinear Analysis: Hybrid Systems

    • ISSN: 1751-570X
    A journal of IFAC, the International Federation of Automatic ControlNonlinear Analysis: Hybrid Systems (NAHS) welcomes all original research papers on mathematical concepts, tools, and techniques from control theory, computer science, and applied mathematics for the modelling, analysis and design of hybrid dynamical systems, i.e., systems involving the interplay between discrete and continuous dynamic behaviors.Hybrid systems are ubiquitous in many branches of engineering and science as they can model broad ranges of dynamical systems. In particular, in cyber-physical systems, which integrate sensing, computation, control and communication (cyber) parts into physical objects and infrastructures, hybrid systems play an instrumental role. The description of the behavior of the cyber parts often calls for discrete models (automata, finite-state machines, switching logic, etc.), while the physical (thermal, mechanical, electrical, physical, biological) parts are well captured by continuous modelling formalisms (e.g., differential equations), thereby naturally resulting in hybrid system models such as (stochastic) hybrid automata, timed automata, switched systems, impulsive systems, jump-flow models, piecewise affine systems, non-smooth systems, etc. Also, many physical phenomena can often be well described by non-smooth or hybrid models, including mechanical systems with impacts and friction (walking robots), switched power converters and biological systems (e.g., firing neuron models).Hybrid systems can exhibit very rich dynamics and their analysis calls for new and strong theorical foundations to guarantee their stability, safety, functionality, and performance. The development of systematic methods for efficient and reliable design of hybrid systems is therefore a key challenge on the crossroads of control theory and computer science. It is currently of high interest to control engineers, computer scientists and mathematicians in research institutions as well as in many industrial sectors.Contribution... to Nonlinear Analysis: Hybrid Systems are invited in all areas pertaining to hybrid dynamical systems including: Modeling, modeling languages and specification;Analys... computability and complexity;Stochasti... hybrid systems;Impulsive systems;Formal verification and abstraction;Optimiza... and controller synthesis;Control over communication networks including self- and event-triggered control;Network Science and multi-agent systems;Fault diagnosis and fault-tolerant control;Simulation, implementation and tools;Safety, security, privacy, and resilience for cyber-physical systems;Planning and integrated control in dynamical systems.Contribution... on applications of hybrid dynamical systems methods are also encouraged. Fields of interest include: process and manufacturing industries, automotive and mobility systems, avionics, communication networks and networked control systems, energy and power systems, transportation networks, cyber-physical and embedded systems, (synthetic) biology and biomedical applications, life sciences, safety-critical systems, mobile and autonomous robotics, and other related areas.
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