Aims and scope

Journal of Computational and Data-Driven Materials Engineering, published by Institute for Advanced Materials Research Press, is a peer-reviewed scholarly journal dedicated to the dissemination of high-quality academic research. The journal provides an international platform for researchers, scholars, and practitioners to publish original contributions that advance knowledge within their respective fields.

Subjects

The primary subjects of Journal of Computational and Data-Driven Materials Engineering are:

• Computational Materials Engineering

• Materials Informatics

• Data-Driven Materials Design

• Computational Materials Science

• Materials Modeling and Simulation

• Multiscale Materials Modeling

• Materials Data Analytics

• Predictive Modeling of Material Properties

• High-Throughput Materials Screening

• Digital Materials Engineering

• Integrated Computational Materials Engineering (ICME)

• Materials Optimization

• Materials Characterization and Data Analysis

• Digital Twin for Materials Systems

• Sustainable Materials Design

Journal of Computational and Data-Driven Materials Engineering (JCDME) is an international, peer-reviewed scholarly journal devoted to advancing computational and data-centric methodologies in materials engineering and materials science. The journal serves as a multidisciplinary forum for the dissemination of innovative research on modeling, simulation, optimization, and data-driven technologies that support the development and performance evaluation of engineering materials.

JCDME publishes original research articles, review papers, and interdisciplinary studies that contribute to the integration of computational tools, materials data analytics, and digital engineering approaches for solving complex materials challenges. The journal seeks to bridge the gap between computational science, materials engineering, and industrial applications, fostering the development of efficient, sustainable, and high-performance materials systems.

Aims

The primary aims of Journal of Computational and Data-Driven Materials Engineering are to:

• Promote the dissemination of rigorous and original research

• Support academic dialogue across disciplines and research communities

• Encourage methodological, theoretical, and applied studies

• Uphold high standards of research integrity and scholarly communication

• Facilitate the global exchange of scientific and academic knowledge

Scope

Journal of Computational and Data-Driven Materials Engineering welcomes submissions that contribute to the advancement of knowledge in relevant academic and professional domains. The journal considers manuscripts that demonstrate:

• Original research findings

• Novel theoretical insights

• Methodological developments

• Critical reviews of existing literature

• Interdisciplinary and multidisciplinary approaches

The journal encourages contributions from researchers worldwide and supports diverse academic perspectives.

Article Types

The journal publishes scholarly works including, but not limited to:

• Original research articles

• Review articles

• Short communications

• Case studies

• Conceptual and methodological papers

Audience

The journal serves an international readership comprising:

• Academic researchers and scholars

• Educators and students

• Industry professionals and practitioners

• Policy makers and institutional stakeholders

Peer Review and Quality Assurance

All submissions to Journal of Computational and Data-Driven Materials Engineering undergo a structured peer-review process to ensure originality, relevance, clarity, and academic quality. Editorial decisions are based on scholarly merit and adherence to ethical publishing standards.

Publication Ethics

Journal of Computational and Data-Driven Materials Engineering follows established principles of publication ethics and best practices to ensure transparency, fairness, and academic integrity in all aspects of the publishing process.

Contribution to the Academic Community

By publishing in Journal of Computational and Data-Driven Materials Engineering, authors contribute to the development and dissemination of scholarly knowledge and support the mission of Institute for Advanced Materials Research Press to advance research and education globally.