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 High entropy and multiferroic materials with novel properties
截稿日期: 2024-11-30

The Special Issue on High Entropy and Multiferroic Materials explores innovative synthesis methods, advanced characterization techniques, and practical applications, offering insights into these transformative materials' unique properties.

Guest editors:

Subhash Sharma, CNyN-UNAM, Ensenada, Mexico
Email: subhash@ens.cnyn.unam.mx

Oscar Raymond-Herrera, CNyN-UNAM, Ensenada, Mexico
Email: raymond@ens.cnyn.unam.mx

Manish Kumar, Delhi University, Delhi, India
Email: mkumar2@arsd.du.ac.in

Sushrisangita Sahoo, Tuskegee University, Tuskegee, The United States
Email: ssahoo@tuskegee.edu

Special issue information:

Welcome to our special issue on High Entropy and Multiferroic Materials. This collection explores cutting-edge research in two transformative fields within materials science. High entropy and multiferroic materials offer unique properties and multifunctional capabilities, poised to revolutionize various industries.

High entropy materials, especially high entropy ceramics (HECs) and alloys (HEAs), are characterized by their complex compositions involving five or more principal elements in near-equal proportions. These attributes make HEAs and HECs ideal for applications in extreme environments, aerospace, and energy sectors.

Multiferroic materials exhibit the coexistence of two or more primary ferroic properties—ferroelectricity, ferromagnetism, and ferroelasticity. Studying multiferroics enhances our understanding of fundamental physics and paves the way for innovative applications in data storage, smart materials, and energy harvesting.

This special issue highlights recent advancements, addresses challenges, and explores future directions in high entropy and multiferroic materials. Key topics include:

    Synthesis and Characterization: Innovative methods for synthesizing high entropy, multiferroic materials, and advanced characterization techniques.
    Theoretical and Computational Studies: First-principles calculations, molecular dynamics simulations, and theoretical modeling to predict and understand these materials' properties.
    Properties and Mechanisms: Detailed investigations into the structural, electrical, magnetic, and optical properties of high entropy and multiferroic materials, along with the underlying mechanisms.

We present pioneering research to inspire and inform the scientific community. This special issue fosters interdisciplinary collaboration and advances the use of high entropy and multiferroic materials to meet future technological challenges. Explore these articles and join us in pushing the frontiers of materials science.

Manuscript submission information:

The journal’s submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue from Jul 15, 2024. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of "VSI: High Entropy Materials" 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: Nov 30, 2024

Keywords:

High entropy materials, Multiferroic materials, Synthesis techniques, Advanced characterization, Density functional theory (DFT), Magnetic properties, Optical properties

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