Special Issues
Table of Content

Computational Analysis of Micro-Nano Material Mechanics and Manufacturing

Submission Deadline: 31 August 2025 View: 674 Submit to Special Issue

Guest Editors

Prof. Qinghua Qin

Email: qinghua.qin@smbu.edu.cn

Affiliation: Institute of Advanced Interdisciplinary Technology, Shenzhen MSU-Bit University, Shenzhen, 518000, China

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Research Interests: Computational Mechanics; Finite and Boundary Element Method; Composite Materials; Nanomaterials and Nanomechanics; Additive Manufacturing


Prof. Wugui Jiang

Email: jiangwugui@nchu.edu.cn

Affiliation: School of Materials Science and Engineering, Nanchang Hangkong University, Nanchang, 330000, China

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Research Interests: Computational Mechanics; Finite and Boundary Element Method; Composite Materials; Nanomaterials and Nanomechanics


Summary

With the rapid advancements in computational techniques, including molecular dynamics simulations, finite element methods, and machine learning approaches, there is a growing opportunity to gain deeper insights into the behavior, design, and manufacturing processes of materials at micro- and nano-scales. The proposed special issue will focus on the advanced computational methods and their applications in the mechanics analysis and manufacturing of micro- and nano-scale materials.


This special issue will highlight cutting-edge computational approaches to address challenges in material mechanics and manufacturing at reduced scales. By bringing together leading research contributions, the issue will advance knowledge and provide valuable insights for both academia and industry working in micro- and nano-material science.


The special issue aims to cover the following areas (but is not limited to):

1. Computational modeling of mechanical properties in micro- and nano-materials.

2. Molecular dynamics and multiscale simulations for materials behavior.

3. Novel numerical techniques for micro-nano manufacturing processes.

4. Analysis of deformation, failure mechanisms, and phase transitions.

5. Design and optimization of micro- and nano-materials through simulations.

6. Machine learning and AI applications in micro-nano material mechanics.

7. Simulation of additive manufacturing and micro-fabrication processes.

8. Interfaces, surfaces, and structural evolution in micro-nano systems.


We aim to attract contributions from researchers in computational mechanics, materials science, and manufacturing engineering, as well as those developing novel algorithms and computational tools.


Keywords

Nanomaterials; Nanomechanics; Molecular dynamics; Manufacturing; Computational techniques

Published Papers


  • Open Access

    ARTICLE

    Integrated Discrete Cell Complexes and Finite Element Analysis for Microstructure Topology Evolution during Severe Plastic Deformation

    Siying Zhu, Weijian Gao, Min Yi, Zhuhua Zhang
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.068242
    (This article belongs to the Special Issue: Computational Analysis of Micro-Nano Material Mechanics and Manufacturing)
    Abstract Microstructure topology evolution during severe plastic deformation (SPD) is crucial for understanding and optimising the mechanical properties of metallic materials, though its prediction remains challenging. Herein, we combine discrete cell complexes (DCC), a fully discrete algebraic topology model—with finite element analysis (FEA) to simulate and analyse the microstructure topology of pure copper under SPD. Using DCC, we model the evolution of microstructure topology characterised by Betti numbers (, , ) and Euler characteristic (). This captures key changes in GBNs and topological features within representative volume elements (RVEs) containing several hundred grains during SPD-induced recrystallisation.… More >

  • Open Access

    REVIEW

    Large Language Model-Driven Knowledge Discovery for Designing Advanced Micro/Nano Electrocatalyst Materials

    Ying Shen, Shichao Zhao, Yanfei Lv, Fei Chen, Li Fu, Hassan Karimi-Maleh
    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 1921-1950, 2025, DOI:10.32604/cmc.2025.067427
    (This article belongs to the Special Issue: Computational Analysis of Micro-Nano Material Mechanics and Manufacturing)
    Abstract This review presents a comprehensive and forward-looking analysis of how Large Language Models (LLMs) are transforming knowledge discovery in the rational design of advanced micro/nano electrocatalyst materials. Electrocatalysis is central to sustainable energy and environmental technologies, but traditional catalyst discovery is often hindered by high complexity, fragmented knowledge, and inefficiencies. LLMs, particularly those based on Transformer architectures, offer unprecedented capabilities in extracting, synthesizing, and generating scientific knowledge from vast unstructured textual corpora. This work provides the first structured synthesis of how LLMs have been leveraged across various electrocatalysis tasks, including automated information extraction from literature,… More >

  • Open Access

    ARTICLE

    Directional Explosion of Finite Volume Water Confined in a Single-End-Opened CNT

    Jiahao Liu, Yuanyuan Kang, Kun Cai, Haiyan Duan, Jiao Shi
    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2573-2586, 2025, DOI:10.32604/cmc.2025.066249
    (This article belongs to the Special Issue: Computational Analysis of Micro-Nano Material Mechanics and Manufacturing)
    Abstract The directional explosion behavior of finite volume water confined within nanochannels holds considerable potential for applications in precision nanofabrication and bioengineering. However, precise control of nanoscale mass transfer remains challenging in nanofluidics. This study examined the dynamic evolution of water clusters confined within a single-end-opened carbon nanotube (CNT) under pulsed electric field (EF) excitation, with a particular focus on the structural reorganization of hydrogen bond (H-bond) networks and dipole orientation realignment. Molecular dynamics simulations reveal that under the influence of pulsed EF, the confined water molecules undergo cooperative restructuring to maximize hydrogen bond formation through… More >

    Graphic Abstract

    Directional Explosion of Finite Volume Water Confined in a Single-End-Opened CNT

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