PHYSICAL REVIEW C

Scope & Guideline

Igniting Innovation in Subatomic Research

Introduction

Explore the comprehensive scope of PHYSICAL REVIEW C through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore PHYSICAL REVIEW C in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2469-9985
PublisherAMER PHYSICAL SOC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2016 to 2024
AbbreviationPHYS REV C / Phys. Rev. C
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844

Aims and Scopes

The journal 'Physical Review C' focuses on a wide array of topics within nuclear physics, particularly emphasizing the structure and dynamics of atomic nuclei, nuclear reactions, and the interactions of nuclear matter. The studies published in this journal employ both theoretical and experimental methodologies to explore nuclear phenomena, often utilizing advanced computational techniques and models to address complex questions in the field.
  1. Nuclear Structure and Dynamics:
    Research in this area includes the study of nuclear shapes, energy levels, and collective excitations, often involving advanced theoretical frameworks such as the shell model, mean-field theory, and density functional theory.
  2. Nuclear Reactions and Fusion:
    This encompasses investigations into various nuclear reactions, including fusion, fission, and neutron capture processes, with analyses often employing experimental techniques to measure reaction cross-sections and decay properties.
  3. Astrophysical Applications:
    Many studies relate to the role of nuclear processes in astrophysical phenomena, such as nucleosynthesis in stars, neutron star physics, and the production of elements in supernovae.
  4. Machine Learning and Computational Methods:
    The journal has increasingly featured papers that apply machine learning techniques to nuclear physics problems, enhancing predictive models for nuclear masses and decay processes.
  5. Quantum Mechanics and Many-Body Physics:
    Research often explores quantum mechanical aspects of nuclear systems, including many-body interactions, quantum entanglement, and the implications for nuclear stability and decay.
  6. Chiral Effective Field Theory:
    Chiral effective field theory is frequently used to understand nucleon-nucleon interactions and their implications for nuclear structure and reactions, providing a robust framework for low-energy nuclear physics.
In recent years, 'Physical Review C' has seen a rise in the exploration of certain themes within nuclear physics. These emerging scopes reflect advancements in technology, theoretical frameworks, and interdisciplinary approaches that enhance our understanding of nuclear phenomena.
  1. Neutron Star Physics:
    There is a growing emphasis on the properties of neutron stars, particularly concerning their equations of state, interactions under extreme conditions, and implications for astrophysical observations.
  2. Quantum Computing Applications:
    The integration of quantum computing techniques in nuclear physics research is becoming more prevalent, facilitating complex calculations and simulations that were previously intractable.
  3. Multinucleon Transfer Reactions:
    Studies focusing on multinucleon transfer processes in nuclear reactions are gaining traction, providing insights into the formation of neutron-rich isotopes and their properties.
  4. Nuclear Machine Learning:
    The application of machine learning techniques to predict nuclear properties and analyze experimental data is rapidly emerging, indicating a trend towards data-driven approaches in nuclear research.
  5. Collective and Correlated States:
    Research on collective excitations and correlations among nucleons, particularly in exotic and neutron-rich nuclei, is increasingly prominent, highlighting the complex interplay of nuclear forces.
  6. Chiral Effective Field Theory Applications:
    The application of chiral effective field theory to understand nuclear forces and reactions is trending, as it provides a robust framework for low-energy nuclear interactions.

Declining or Waning

While 'Physical Review C' maintains a strong focus on various aspects of nuclear physics, certain themes appear to be declining in prominence in recent publications. This shift may reflect evolving interests within the field or advancements in experimental techniques that render some older approaches less relevant.
  1. Traditional Shell Model Approaches:
    Although still relevant, traditional shell model studies appear to be less frequently published in favor of more complex, multi-particle interaction models and computational approaches that provide deeper insights into nuclear behavior.
  2. Static Nuclear Models:
    Research focusing on static models of nuclear structure, which do not incorporate dynamic interactions or external influences, has seen a decrease as the community shifts towards more dynamic and interactive models.
  3. Basic Nuclear Reaction Studies:
    While foundational studies remain important, there is a noticeable decline in the publication of basic nuclear reaction studies without novel theoretical or computational contributions, as the field moves towards more complex and nuanced investigations.
  4. Isospin Symmetry Studies:
    The specific focus on isospin symmetry in nuclear interactions has waned, with researchers increasingly looking at broader interactions that include symmetry breaking and other phenomena.
  5. Fission Studies in Isolation:
    Research solely focusing on fission processes without integrating them into broader frameworks, such as multi-channel approaches or statistical models, appears to be declining.

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