Multiscale Modeling and Characterization Technique of Advanced Nanostructured Materials for Extreme Service

Dear Colleagues,

We are thrilled to announce the Special Issue on "Multiscale Modeling and Characterization Technique of Advanced Nanostructured Materials for Extreme Service." This issue aims to gather pioneering research that tackles the multifaceted challenges in the design, simulation, and characterization of advanced nanostructured materials subjected to extreme conditions. With the rapid development in nanotechnology, it is crucial to adopt sophisticated multiscale modeling and advanced characterization techniques to understand and enhance the performance of these materials.

This Special Issue will focus on the latest innovations in multiscale modeling, bridging the gap between macroscopic material behavior and nanoscale phenomena. Researchers are invited to contribute original articles, reviews, and case studies that explore novel computational methods, experimental techniques, and their applications in real-world scenarios. Furthermore, we are calling for contributions that integrate machine learning techniques with multiscale modeling to push the boundaries of materials science. Topics of interest include, but are not limited to, the following:

1. Multiscale Numerical Simulations: advanced simulations that integrate different scales of material behavior to predict performance under extreme conditions.
2. Experimental Characterization Techniques: cutting-edge methods for analyzing the structural and mechanical properties of nanomaterials.
3. Interdisciplinary Approaches: collaborative studies that combine insights from materials science, physics, engineering, and computational science.
4. Machine Learning Applications: innovative uses of machine learning to enhance modeling and characterization processes.

We encourage submissions that highlight how these advanced techniques can lead to the development of materials capable of withstanding extreme environmental conditions, such as radiation exposure, high temperatures, pressures, and corrosive environments. By contributing to this Special Issue, researchers will not only showcase their innovative work but also collaborate with leading experts to push the boundaries of materials science. Join us in this exciting venture to advance the field of nanostructured materials and make significant contributions to science and industry.

Dr. Hai Huang
Dr. Feida Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nanomaterials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• multiscale modeling
• nanostructured materials
• advanced materials
• extreme environments
• machine learning
• material characterization
• finite element analysis
• atomistic simulation
• Monte Carlo method