Dan Xu^1,2, Chuanfu Luo^1,2,3,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2807-2818, 2025, DOI:10.32604/cmc.2025.069471 - 23 September 2025

Abstract The crystallization behavior of polymers is significantly influenced by molecular chain length and the dispersion of varying chain lengths. The complexity of studying crystallization arises from the dispersity of polymer materials and the typically slow cooling rates. Recent advancements in fast cooling techniques have rendered the investigation of polymer crystallization at varying cooling rates an attractive area of research; however, a systematic quantitative framework for this process is still lacking. We employ a coarse-grained model for polyvinyl alcohol (CG-PVA) in molecular dynamics simulations to study the crystallization of linear polymers with varying chain lengths under… More >

Qinghua Qin^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1-39, 2025, DOI:10.32604/cmc.2025.067293 - 29 August 2025

Abstract Carbon nanotubes (CNTs), black phosphorus nanotubes (BPNTs), and graphene derivatives exhibit significant promise for applications in nano-electromechanical systems (NEMS), energy storage, and sensing technologies due to their exceptional mechanical, electrical, and thermal properties. This review summarizes recent advances in understanding the dynamic behaviors of these nanomaterials, with a particular focus on insights gained from molecular dynamics (MD) simulations. Key areas discussed include the oscillatory and rotational dynamics of double-walled CNTs, fabrication and stability challenges associated with BPNTs, and the emerging potential of graphyne nanotubes (GNTs). The review also outlines design strategies for enhancing nanodevice performance More >

Keyuan Chen¹, Xingkao Zhang¹, Li Ma¹, Jueyi Ye¹, Qi Qiu¹, Haoxiang Zhang¹, Ju Rong^1,*, Yudong Sui^1,*, Xiaohua Yu^1,2, Jing Feng¹

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 685-700, 2025, DOI:10.32604/cmc.2025.060713 - 26 March 2025

Abstract The deep potential (DP) is an innovative approach based on deep learning that uses ab initio calculation data derived from density functional theory (DFT), to create high-accuracy potential functions for various materials. Platinum (Pt) is a rare metal with significant potential in energy and catalytic applications, However, there are challenges in accurately capturing its physical properties due to high experimental costs and the limitations of traditional empirical methods. This study employs deep learning methods to construct high-precision potential models for single-element systems of Pt and validates their predictive performance in complex environments. The newly developed DP… More >

Nicolás Amigo^*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3665-3678, 2024, DOI:10.32604/cmc.2024.059895 - 19 December 2024

Abstract This study explores the mechanical behavior of single-crystal copper with silver inclusions, focusing on the effects of dendritic and spherical geometries using molecular dynamics simulations. Uniaxial tensile tests reveal that dendritic inclusions lead to an earlier onset of plasticity due to the presence of high-strain regions at the complex inclusion/matrix interfaces, whereas spherical inclusions exhibit delayed plasticity associated with their symmetric geometry and homogeneous strain distribution. During the plastic regime, the dislocation density is primarily influenced by the volume fraction of silver inclusions rather than their shape, with spherical inclusions showing the highest densities due… More >

Xinyu Zhang¹, Wenjie Xia², Yang Wang^3,4, Liang Wang^1,*, Xiaofeng Liu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3047-3061, 2024, DOI:10.32604/cmes.2023.046922 - 11 March 2024

Abstract Graphene aerogel (GA), as a novel solid material, has shown great potential in engineering applications due to its unique mechanical properties. In this study, the mechanical performance of GA under high-velocity projectile impacts is thoroughly investigated using full-atomic molecular dynamics (MD) simulations. The study results show that the porous structure and density are key factors determining the mechanical response of GA under impact loading. Specifically, the impact-induced penetration of the projectile leads to the collapse of the pore structure, causing stretching and subsequent rupture of covalent bonds in graphene sheets. Moreover, the effects of temperature More >

Shihao Tian^1,2, Quanzi Yuan^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09327

Abstract When one soluble fiber is partially merged into liquid, a meniscus forms and the fiber can be dissolved into one pinpoint with curvature. This process has been used in the manufacture of sophisticated pinpoints. However, it is hard to observe the dissolution process in the laboratory and the dissolution mechanisms are still far from being well understood in the nanoscale. Here we utilize molecular dynamics simulations to study the dissolution process of one meniscus-adhered nanofiber. We find that the tip’s curvature radius decreases and then increases, reaching the maximum in the middle state. This state… More >

Hongfei Ye^1,*, Chenguang Yin¹, Jian Wang¹, Yonggang Zheng¹, Hongwu Zhang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09741

Abstract The wetting behavior is ubiquitous in natural phenomenon as well as engineering application. As an intrinsic property of solid surface, the wettability with a controllable gradient has been an attractive issue with a wide application in various fields, including microfluidic devices, self-driven transport, biotechnologies, etc. Generally, it often requires elaborate design of microstructure or its response under the electrical, thermal, optical, pH stimuli, etc. However, the relevant complex underlying mechanism makes it difficult to construct quantitative relations between the wettability and the external field for the fine design. In this work, based on the bilayer… More >

Xinliang Li¹, Jiangang Guo^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09484

Abstract As the first two-dimensional (2D) material discovered in experiments, graphene has attracted increasing attention from the scientific community [1]. And it possesses many superb mechanical, electronic and optical properties [2-4] due to its unique atomic structure. Its Young’s modulus and failure strength are 1TPa and 130GPa [5], respectively. Thus, 2D graphene has been extensively used in nanosensors and nanocomposites [6-8], etc. In order to fabricate graphene-based devices which inherit outstanding properties of 2D graphene, materials scientists are trying to use 2D graphene as building blocks to construct three-dimensional (3D) carbon nanomaterials, such as 3D graphene… More >

Xin Wang^1,*, H. Fan¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09986

Abstract Precipitates play an important role in the evolution of irradiation-induced defects and mechanical property of irradiated metals. In this work, the effects of a Zr2Cu precipitate on the production and subsequent evolution of cascade-induced point defects (vacancies and interstitials) in ZrCu alloy were investigated by molecular dynamics simulations at room temperature. The simulation results show that the precipitate increases the number of residual point defects at the end of cascade. However, most of the residual defects reside in the precipitate and near precipitate boundary. In the matrix, more interstitials survive than vacancies. In addition, a… More >

Yan liu¹, Chuanlong Xu¹, Xiaobao Tian¹, Wentao Jiang¹, Qingyuan Wang¹, Haidong Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09982

Abstract Zirconium alloys were widely used as fuel cladding in nuclear reactors. Stacking fault pyramid (SFP) is an irradiation-induced defect in zirconium. In this work, the formation process of SFP from a hexagonal vacancy plate on basal plane is studied by molecular dynamics (MD) simulations. The results show that, during the SFP formation from a basal vacancy plate, the dislocation is firstly dissociated into two partial dislocations and . The former one resides on the basal plane, while the latter one glides on the first-order pyramidal plane. The … More >