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 1. Aims and Scope

 2. Publishing Model

 3. Copyright and License to Publish

 4. Editorial Board

 5. Editorial Policies

 6. Peer Review

 7. Research and Publication Ethics

 8. Basic Information

 9. Indexing & Archiving

 10. Contact

 

1. Aims and Scope

In recent years, the tremendous progress in AI is leading a radical shift of AI research from a mainly academic endeavor to a much broader field with increasing industrial and governmental investments. The maturation of AI technology brings about a step change in the scientific research of various domains, especially in the world of materials and design. Machine learning (ML) algorithms enable researchers to analyze extensive datasets on material properties and accurately predict their behavior in different conditions. This subsequently impact the industry to leverage on big data and advanced analytics to build scientific strategies, scale operational performance of processes and drive innovation. In addition, AI and ML are uniquely positioned to enable advanced manufacturing technologies across the value chain of different industries. Integration of multiple and complementary AI techniques, such as ML, search, reasoning, planning, and knowledge representation, will further accelerate advances in scientific discoveries, engineering excellence and the future of cyber-physical systems manufacturing.

This journal focuses on the impact of machine learning on the following topics, but is not limited to:

  • AI or machine learning for material discovery
  • AI for process optimization
  • AI and data-driven approaches for product or systems design
  • Application of AI in advanced manufacturing processes such as additive manufacturing, IoT, sensors, robotics
  • Cloud-based manufacturing
  • Intelligent manufacturing for various applications including biotechnology, energy
  • Autonomous experiments
  • Material Intelligence
  • Energy Intelligence
  • AI-linked decarbonization technologies

 

2. Publishing Model

Gold open access. All articles published by IJAMD are made freely and permanently accessible online immediately from the date of publication. For further information, please refer to Open Access.

 

3. Copyright and License to Publish

Articles in IJAMD are published under a Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license users are free to share (copy, distribute and transmit) and remix (adapt) the contribution for any purposes, even commercially, provided that the users appropriately acknowledge the original authors and the source.

Copyright is retained by authors. Authors are required to sign a License to Publish (which can be downloaded from the journal's Author Instructions), granting IJAMD, which identifies itself as the original publisher, exclusive rights to publish their articles, and granting any third party the right to use the articles freely as long as the integrity is maintained and the original authors, citation details and publisher are identified.

 

4. Editorial Board

For more information about the editorial team, please refer to Editorial Board.

 

5. Editorial Policies

All manuscripts submitted to IJAMD should adhere to AccScience Publishing's Editorial Policies.

 

6. Peer Review

The journal adheres to rigorous peer review and undergoes double-blind peer review. For more details, please refer to Editorial Process.

 

7. Publication Ethics Statement

IJAMD fully adheres to the Code of Conduct and the Best Practice Guidelines of Committee on Publication Ethics (COPE).

The Editors of this journal enforce a rigorous peer-review process together with strict ethical policies and standards to guarantee to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, image manipulation, inappropriate authorship credit, and the like, do arise. The Editors of IJAMD take such publishing ethics issues very seriously and are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use CrossCheck (powered by iThenticate) to check submissions against previous publications.

 

8. Journal Information and Statistics

ISSN 3029-2573 (Online)
Digital archive: Portico
Frequency: Quarterly
DOI: 10.36922/ijamd

 

9. Indexing & Archiving

All articles published in IJAMD are included in:

Google Scholar

 

10. Contact

Please visit the page of Editorial Office for details about different queries.

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International Journal of AI for Materials and Design, Electronic ISSN: 3029-2573 Print ISSN: 3041-0746, Published by AccScience Publishing