Aim and Scope

Applied Nonlinearity in Science and Technology

Aim

Applied Nonlinearity in Science and Technology aims to advance the understanding and application of nonlinear phenomena across scientific and technological disciplines. The journal serves as a premier platform for publishing high-quality research that bridges theoretical foundations with practical applications, fostering innovation in modeling, analysis, and control of nonlinear systems. We seek to promote interdisciplinary collaboration and disseminate cutting-edge methodologies that address real-world challenges in science, engineering, and technology.

Scope

The journal welcomes original research articles, review papers, and technical notes in all areas of nonlinear science and its applications, including but not limited to:

Theoretical Foundations:

  • Nonlinear dynamics and chaos theory
  • Bifurcation analysis and stability theory
  • Fractals and complex systems
  • Nonlinear wave propagation
  • Pattern formation and self-organization

Mathematical Methods:

  • Analytical and numerical methods for nonlinear equations
  • Computational techniques for nonlinear problems
  • Asymptotic and perturbation methods
  • Geometric and topological approaches

Engineering Applications:

  • Nonlinear control systems and robotics
  • Structural dynamics and vibration analysis
  • Fluid mechanics and turbulence
  • Electrical and electronic circuits
  • Material science and nonlinear mechanics

Physical Sciences:

  • Nonlinear optics and photonics
  • Plasma physics and fusion research
  • Quantum nonlinear phenomena
  • Astrophysical and geophysical systems
  • Climate modeling and environmental dynamics

Biological and Life Sciences:

  • Biological oscillators and rhythms
  • Population dynamics and epidemiology
  • Neural networks and brain dynamics
  • Systems biology and biophysics

Data Science and AI:

  • Machine learning for nonlinear systems
  • Nonlinear signal and image processing
  • Data-driven modeling and identification
  • Predictive analytics for complex systems

Emerging Technologies:

  • Energy systems and renewable technologies
  • Nanotechnology and quantum technologies
  • Communications and network dynamics
  • Smart materials and adaptive systems

The journal particularly encourages submissions that:

  • Demonstrate clear connections between theory and applications
  • Introduce novel methodologies with broad applicability
  • Address significant challenges in science and technology
  • Foster interdisciplinary approaches to complex problems