ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK

Scope & Guideline

Fostering Collaboration Across Mathematical and Physical Sciences

Introduction

Delve into the academic richness of ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageMulti-Language
ISSN0044-2275
PublisherSPRINGER INT PUBL AG
Support Open AccessNo
CountrySwitzerland
TypeJournal
Convergefrom 1950 to 2024
AbbreviationZ ANGEW MATH PHYS / Z. Angew. Math. Phys.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGEWERBESTRASSE 11, CHAM CH-6330, SWITZERLAND

Aims and Scopes

The journal "Zeitschrift für angewandte Mathematik und Physik" (ZAMP) primarily focuses on the interface of applied mathematics and physics, emphasizing the mathematical modeling of physical phenomena, numerical methods, and analytical techniques. It serves as a platform for disseminating research that contributes to the understanding and advancement of both fields through rigorous mathematical frameworks and innovative applications.
  1. Mathematical Modeling of Physical Systems:
    Research papers often explore mathematical models that describe various physical systems, including fluid dynamics, thermodynamics, and biological processes. These models are critical for simulating real-world scenarios and predicting system behavior.
  2. Analysis of Partial Differential Equations (PDEs):
    The journal extensively covers the analysis of PDEs, which are central to formulating and solving problems in applied mathematics and physics. This includes studies on existence, uniqueness, and regularity of solutions.
  3. Numerical Methods and Simulations:
    A significant portion of the publications focuses on developing and analyzing numerical methods for solving complex mathematical models. This includes finite element methods, spectral methods, and other computational techniques.
  4. Stability and Dynamics of Solutions:
    Many articles investigate the stability properties of solutions to differential equations, particularly in relation to dynamical systems. This includes bifurcation theory and stability analysis in various contexts.
  5. Interdisciplinary Applications:
    Research often highlights interdisciplinary applications of mathematical theories in engineering, biology, and environmental sciences, bridging gaps between pure mathematics and practical applications.
  6. Emerging Mathematical Techniques:
    The journal also presents novel mathematical techniques that advance theoretical understanding or improve computational efficiency, such as fractional calculus, nonlocal models, and stochastic processes.
The journal has seen a rise in interest in several emerging themes and methodologies, reflecting current trends in applied mathematics and physics. These trends indicate a growing emphasis on complex systems and interdisciplinary approaches.
  1. Complex Systems and Interactions:
    There is a growing trend towards studying complex systems, including interactions within biological models, ecological systems, and multi-species interactions, highlighting the intricate dynamics that govern these systems.
  2. Fractional and Nonlocal Models:
    Research incorporating fractional calculus and nonlocal effects is on the rise, indicating a shift towards understanding phenomena that cannot be adequately described by classical local models.
  3. Stochastic and Random Processes:
    An increasing number of publications focus on stochastic models, reflecting the importance of randomness and uncertainty in physical systems, particularly in fields like epidemiology and finance.
  4. Machine Learning and Data-Driven Approaches:
    The integration of machine learning techniques into mathematical modeling and analysis is emerging as a significant trend, showcasing the journal's adaptation to contemporary computational methodologies.
  5. Multi-Scale Modeling:
    There is a notable trend towards multi-scale modeling approaches that bridge different scales of analysis, from microscopic to macroscopic phenomena, thus providing a more comprehensive understanding of complex systems.
  6. Thermal and Fluid Dynamics in Nonlinear Regimes:
    Research focusing on nonlinear effects in thermal and fluid dynamics is increasingly prominent, underlining the complexity and richness of these physical phenomena.

Declining or Waning

While the journal continues to thrive in many areas, certain themes and methodologies appear to be declining in prominence. This may reflect broader trends in the field or shifts in research focus among its contributors.
  1. Traditional Analytical Methods:
    There is a noticeable decline in papers that rely solely on traditional analytical approaches without incorporating modern computational techniques. As computational power increases, researchers are increasingly favoring numerical simulations over purely analytical solutions.
  2. Static Models Without Dynamic Considerations:
    The focus on static models has decreased, with more researchers recognizing the importance of dynamic behavior and temporal effects in their models, leading to a waning interest in static equilibrium analyses.
  3. Elementary Mathematical Techniques:
    Papers that utilize basic mathematical techniques without innovative adaptations are becoming less frequent, as there is a push towards more sophisticated and robust methodologies in tackling complex problems.
  4. Low-dimensional Systems:
    Research on low-dimensional systems, such as simple ODEs or basic PDEs, is declining in favor of more complex, high-dimensional models that reflect real-world complexities and interactions.

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