Materials Today Communications is a broad scope, multi-disciplinary, rapid-publication journal focused on sound science.

Materials are an essential component of every industry and underpin the technologies used in daily life. Materials science is an ever-expanding and evolving multi-disciplinary field, encompassing aspects of physics, chemistry, biology, engineering and mathematics. Materials Today Communications is interested in papers that focus on understanding the structure-property relationship for materials, utilizing characterization methods across different length scales to understand the effect of nano-, micro- and macro-structure on mechanical, electronic and chemical properties, and applying new and existing techniques to manufacture materials with properties and applications capable of meeting the challenges society faces now and in the future.

Materials Today Communications covers all aspects of materials science, publishing sound science articles on materials research. Our 'sound science' approach means we do not filter submissions based on their topic area, but on the quality of the individual manuscript.

Part of the Materials Today family, Materials Today Communications offers authors rigorous peer review, rapid decisions, and high visibility. The editors welcome comprehensive articles, short communications and reviews on topics including but not limited to:

    Bioengineering and biomedicine
    Biomaterials
    Building materials
    Catalysis
    Composites
    Computational materials science
    Ceramics and glasses
    Energy Materials
    Engineering applications
    Materials characterization

Special Issue on Application of Large Language Models in Materials Science
截稿日期: 2025-01-31

Address challenges and proposed solutions while exploring interdisciplinary collaborations between materials scientists and natural language processing experts.

Guest editors:

Mehrdad Jalali, Institute of Functional Interfaces (IFG) at Karlsruhe Institutive of Technology (KIT), Karlsruhe, Germany
Email: Mehrdad.jalali@kit.edu

Enrico Salvati, University of Udine, Udine, Italy
Email: enrico.salvati@uniud.it

Special issue information:

Embark on exploration at the forefront of materials science research with a dedicated Special Issue on the “Application of Large Language Models in Materials Science.” Uncover unique applications, delving into the inventive ways these models contribute to data analysis, prediction, and discovery in materials science research. Engage with methodological advancements to optimize the utility of large language models in this field. Address challenges and proposed solutions while exploring interdisciplinary collaborations between materials scientists and natural language processing experts. Immerse yourself in visionary articles envisioning the future impact of large language models in materials science. Potential topics include:

1. LLMs for data analysis, prediction, and discovery in materials science.2. Novel methodologies using LLMs in materials science.
3. Optimization of LLMs' application in materials science.
4. Integration of LLMs/NLP with existing research workflows in materials science.
5. Addressing challenges in applying LLMs to materials science.
6. Proposed solutions and best practices for LLMs in materials science.
7. Future impact and role of LLMs/NLP, chatbots, and generative AI in materials science.
8. Emerging trends and transformative technologies involving LLMs/NLP, chatbots, and generative AI in materials science.

Manuscript submission information:

The journal’s submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue from Jan 15, 2024. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of "VSI: LLMs in Materials Science" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage https://www.sciencedirect.com/journal/materials-today-communications
All the submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Upon its editorial acceptance, your article will go into production immediately. It will be published in the latest regular issue, while be presented on the specific Special Issue webpage simultaneously. In regular issues, Special Issue articles will be clearly marked and branded.

Submission Deadline: Jan 31, 2025

Keywords:

Large Language Model (LLM), Materials Science, Natural Language Processing (NLP), AI in Materials Science