npj Computational Materials - Springer Nature | 2024 Impact Factor:11.9 | Cite Score:16.3 | Q1

Impact Factor and Journal Rank of npj Computational Materials

• About: npj Computational Materials is a peer-reviewed scientific journal that focuses on the development and application of computational methods in the field of materials science. It is part of the Nature Partner Journals (npj) series, published by Nature Research in partnership with scientific communities around the world. npj Computational Materials serves as a platform for researchers to publish original research articles, reviews, and perspectives on computational modeling, simulation, and data-driven approaches in materials science.
• Content: The journal publishes original research articles, reviews, and perspectives that showcase novel computational methods, algorithms, and applications in materials science. Contributions may include theoretical developments, computational studies of materials properties and phenomena, and advancements in computational techniques for materials design and discovery.
• Audience: npj Computational Materials caters to a diverse audience, including researchers, academics, engineers, and students working in the field of materials science, computational physics, chemistry, and related disciplines. The journal content is accessible to both specialists in computational materials science and researchers interested in applying computational methods to address materials-related challenges.
• Interdisciplinary Approach: The journal encourages interdisciplinary collaboration and welcomes contributions that integrate computational materials science with experimental research, theory, and other computational disciplines. By fostering collaboration across different fields, npj Computational Materials aims to accelerate scientific discovery and innovation in materials science.
• High Standards and Impact: npj Computational Materials upholds rigorous standards of quality and integrity through a robust peer-review process conducted by experts in the field. The journal is committed to publishing high-impact research that advances the field of computational materials science and contributes to the broader scientific community.
• Global Reach: As part of the Nature Partner Journals series, npj Computational Materials has a global reach and attracts contributions from leading researchers and institutions worldwide. The journal international perspective ensures the dissemination of cutting-edge research and facilitates collaboration among researchers from different regions.
• Significance: It is a leading journal in the field of computational materials science, dedicated to advancing scientific knowledge, promoting interdisciplinary collaboration, and addressing key challenges in materials research and development.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Long-Qing Chen

• Scope: npj Computational Materials is a peer-reviewed open-access journal that focuses on the development and application of computational and theoretical methods in materials science. The scope of npj Computational Materials encompasses a wide range of topics related to the computational modeling, simulation, and prediction of the properties, behavior, and performance of materials.
• Here are key areas covered by the scope of npj Computational Materials:
• Materials Modeling and Simulation: Research on computational methods and techniques for modeling the structure, properties, and behavior of materials at various length and time scales. This includes quantum mechanical simulations, molecular dynamics (MD), Monte Carlo simulations, and mesoscale modeling approaches.
• Electronic Structure Calculations: Studies on theoretical and computational methods for calculating the electronic structure of materials. This includes density functional theory (DFT), tight-binding models, Hartree-Fock methods, and GW calculations for predicting electronic properties such as band structures, density of states, and charge transport properties.
• Atomistic Simulations: Research on atomistic simulations of materials at the atomic and molecular level. This includes studies on atomic-scale processes such as diffusion, defects, surface reactions, and phase transformations using techniques such as MD simulations, kinetic Monte Carlo (KMC) methods, and ab initio molecular dynamics (AIMD).
• Structural and Mechanical Properties: Investigation of the structural and mechanical properties of materials using computational methods. This includes studies on elasticity, strength, fracture, deformation mechanisms, and mechanical properties of materials under different loading conditions.
• Thermodynamic Properties and Phase Transformations: Research on thermodynamic properties, phase equilibria, and phase transformations in materials. This includes studies on phase diagrams, solid-state reactions, phase transitions, and thermodynamic stability using computational thermodynamics and statistical mechanics methods.
• Materials Design and Discovery: Application of computational methods for materials design, discovery, and optimization. This includes high-throughput screening, materials informatics, data-driven approaches, and machine learning methods for predicting and optimizing material properties, compositions, and structures.
• Functional Materials and Devices: Research on computational modeling and simulation of functional materials and devices. This includes studies on semiconductors, superconductors, ferroelectrics, piezoelectrics, magnetic materials, and other functional materials for electronic, photonic, and energy applications.
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• Print ISSN:  2057-3960

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus, SCIE

• Imapct Factor 2024:  11.9

• Subject Area and Category:  Computer Science ,Computer Science Applications,Engineering,Mechanics of Materials,Materials Science,Materials Science (miscellaneous),Mathematics,Modeling and Simulation

• Publication Frequency:  

• H Index:  78

• Best Quartile:

  Q1:  Computer Science Applications

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  16.3

• SNIP:  2.444

• Journal Rank(SJR):  2.835

• Latest Articles:   Latest Articles in npj Computational Materials

• Guidelines for Authors: npj Computational Materials Author Guidelines

• Paper Submissions: Paper Submissions in npj Computational Materials

• Publisher:  Nature Publishing Group

  Country:  United Kingdom

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