Computational Condensed Matter

Scope & Guideline

Empowering Researchers with High-Quality, Peer-Reviewed Insights

Introduction

Welcome to the Computational Condensed Matter information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Computational Condensed Matter, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2352-2143
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2014 to 2024
AbbreviationCOMPUT CONDENS MATTE / Comput. Condens. Matter
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Computational Condensed Matter' focuses on the application of computational methods and theories to understand the properties of condensed matter systems. It serves as a platform for researchers to share findings related to the electronic, optical, mechanical, and thermodynamic properties of materials through advanced computational techniques such as density functional theory (DFT) and other first-principles methods.
  1. Computational Materials Science:
    The journal publishes studies that utilize computational methods to explore and predict the properties of various materials, including metals, semiconductors, and complex oxides.
  2. First-Principles Calculations:
    A strong emphasis is placed on first-principles calculations, particularly using density functional theory (DFT), to derive insights into the electronic structure, mechanical properties, and thermal behavior of materials.
  3. Optoelectronic Properties:
    Research on the optoelectronic properties of materials, including their applications in solar cells, photodetectors, and light-emitting devices, is a key focus area.
  4. Thermoelectric Materials:
    The journal includes studies related to thermoelectric materials, highlighting their potential for energy conversion applications and the computational methods used to optimize their performance.
  5. Magnetic Properties and Spintronics:
    Investigations into the magnetic properties of materials, particularly those relevant to spintronics, are frequently presented, showcasing the role of computational methods in understanding magnetism at the atomic level.
  6. Defect and Alloy Studies:
    The effects of defects, doping, and alloying on the physical properties of materials are significant themes, often explored through computational modeling.
  7. High-Pressure and Temperature Effects:
    Research exploring the behavior of materials under extreme conditions, such as high pressure and temperature, is also prevalent, providing insights into phase transitions and stability.
The journal 'Computational Condensed Matter' has observed several emerging trends in recent publications, reflecting the dynamic nature of materials science and computational research. These trends indicate a shift towards innovative materials and advanced computational techniques.
  1. 2D Materials and Heterostructures:
    There is a growing interest in the study of two-dimensional materials and their heterostructures, particularly for their unique electronic and optical properties relevant to next-generation devices.
  2. Machine Learning Integration:
    The integration of machine learning techniques with computational modeling is on the rise, facilitating the discovery and design of new materials by predicting properties and behaviors.
  3. Perovskite Materials:
    Research on perovskite materials, especially their optoelectronic and thermoelectric properties, is increasingly popular, driven by their potential applications in renewable energy technologies.
  4. Spintronics and Magnetic Materials:
    The exploration of spintronic materials and their magnetic properties is becoming more prevalent, reflecting a broader interest in utilizing spin for information processing.
  5. High-Throughput Computational Screening:
    High-throughput computational methods for screening materials are emerging as a prominent theme, enabling rapid identification of promising candidates for various applications.
  6. Environmental and Sustainable Materials:
    There is a marked increase in research focused on environmentally friendly materials and sustainable technologies, including those for energy storage and conversion.
  7. Quantum Computing Materials:
    Emerging studies are investigating materials suitable for quantum computing applications, highlighting the intersection of condensed matter physics and quantum information science.

Declining or Waning

While 'Computational Condensed Matter' has consistently focused on a wide array of topics, there are certain areas that appear to be declining in prominence over recent years. This shift may reflect the evolving interests of the research community or changes in available computational techniques.
  1. Classical Molecular Dynamics Simulations:
    There has been a noticeable decrease in publications focused solely on classical molecular dynamics simulations, as the field increasingly emphasizes quantum mechanical approaches such as DFT.
  2. Experimental Correlation Studies:
    Papers linking computational results with experimental data have become less frequent, possibly due to a growing focus on purely computational studies.
  3. Traditional Semiconductor Studies:
    Research on traditional semiconductor materials is waning, as newer materials such as perovskites and 2D materials gain more attention.
  4. Single-Material Studies:
    The journal has shifted away from studies focusing on single materials in isolation, favoring research that emphasizes complex systems, heterostructures, and composite materials.
  5. Basic Theoretical Frameworks:
    There is a decline in the publication of papers that primarily focus on foundational theoretical frameworks without substantial application to novel materials or systems.

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