Synthesis, Characterization and Computational Modeling of Nanostructured Materials

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 1255

Special Issue Editors


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Guest Editor
Computer Science and Engineering Technology, Department of Mathematics, Elizabeth City State University, Elizabeth City, NC 27909, USA
Interests: semiconductors; heterostructures; quantum dots; nanosensors; nanocomposites; high-performance computing; ion implantation

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Guest Editor
Computer Science Department, A&M College, Southern University, E113 Henry Thurman Jr. Hall, Harding Blvd, Baton Rouge, LA 70807, USA
Interests: microstructures; high-entropy alloys; nanoparticles; high-performance computing; superhrard materials; thermocalc; machine learning

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Guest Editor
Department of Mathematics, Computer Science and Engineering Technology, Elizabeth City State University, 1704 Weeksville Road, Elizabeth City, NC 27909, USA
Interests: photocatalysts; nanostructured catalysts; hydrogen production; CO2 conversion
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Special Issue Information

Dear Colleagues,

The realm of nanostructured materials constitutes a cross-disciplinary frontier in material science, bridging quantum mechanics, quantum chemistry, biology, and beyond. These materials exhibit functional, structural, or dual attributes, adopting forms such as layered materials, 2D heterostructures, micro- and nanoparticles, composites, and others. Their most prominent applications include nanoelectronics, optoelectronics, flexible and quantum electronics, nanosensing, nanomedicine, aerospace lightweight high-strength materials, high-efficiency photocatalysts, functional textiles, flexible smart materials, quantum dots, carbon nanotubes, optoelectronics, and high-entropy materials.

Understanding and developing nanostructured materials necessitates a comprehensive approach, integrating predictive computational modeling, atomic- to nano-scale design, fabrication, and multi-scale characterization. Overcoming synthesis challenges, including producing 2D materials like graphene, atomic layered chalcogenides, and M-Xenes, managing bulk and surface defects in layered materials, and achieving consistent upscaling of nanoparticle layers, is pivotal. Their swift, effective, and agile design can be enabled through the strategic fusion of high-performance computing (HPC) and machine learning.

This Special Issue will highlight the exploration and outcomes of nanostructured material synthesis, delving into their multi-scale characterization and computational modeling in order to establish atomic structure–property relationships and obtain high-performance nanostructures. The Special Issue will underscore the diverse applications of structured materials, showcasing their utility in highly sensitive devices and advanced systems that transcend conventional designs.

Topics:

  • Semiconductor heterostructures for electronics and optoelectronics;
  • Quantum dots for selective light emission or nanosensing;
  • Energy band structure engineering;
  • Nanostructured photocatalysts;
  • Nanosensors operating at the quantum frontier;
  • High-entropy materials;
  • Ultra-shallow ion implantation;
  • Nanostructured materials for energy (photovoltaics, batteries, hydrogen production, etc.);
  • Nanocomposites with tuned properties;
  • Nanomaterials for UV protection;
  • Nanoparticles catalysis for high-efficiency combustion;
  • High-strength nanocomposites;
  • New concepts of biosensing and nanosensors;
  • Nanostructured materials for environmental remediation.

Prof. Dr. Abdennaceur Karoui
Prof. Dr. Shizhong Yang
Dr. Bijandra Kumar
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. Processes is an international peer-reviewed open access monthly 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 2400 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.

Keywords

  • semiconductors
  • heterostructures
  • quantum dots
  • nanosensors
  • high-entropy materials
  • photocatalysts
  • nanocomposites
  • nanoparticles
  • ion implantation
  • high-performance computing
  • machine learning

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Published Papers (1 paper)

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Research

6 pages, 1906 KiB  
Article
Modeling a Strain and Piezo Potentials in an InAs/GaAs Quantum Dot
by Igor Filikhin, Branislav Vlahovic, Tanja Zatezalo, Abdennaceur Karoui and Jimmie Oxley
Processes 2024, 12(11), 2524; https://doi.org/10.3390/pr12112524 - 13 Nov 2024
Viewed by 311
Abstract
We investigated the single-electron spectrum of an InAs/GaAs quantum dot (QD) using an effective potential model developed in previous studies. Our objective was to explore the limits of applicability of this model. We conducted numerical simulations, introducing a piezoelectric potential as a perturbation [...] Read more.
We investigated the single-electron spectrum of an InAs/GaAs quantum dot (QD) using an effective potential model developed in previous studies. Our objective was to explore the limits of applicability of this model. We conducted numerical simulations, introducing a piezoelectric potential as a perturbation to the effective potential. The profile of this additional potential was derived from theoretical numerical studies presented in the literature. We analyzed the impact of variations in this profile within the framework of the perturbation theory. Our findings indicate that within a variation range of 25%, the effective potential model remains applicable. Full article
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