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Meixin Zhou¹, Jia Shin Lee², Kun Zhou^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011064
Abstract 3D printing of metamaterials has garnered significant attention in recent years, as metamaterials, especially the triple periodic minimal surface (TPMS) structures, are engineered to exhibit extraordinary properties. However, challenges such as limited structural designs and lack of real-world applications have restrained the development of 3D printed metamaterials. Herein, a series of TPMS structures were designed and printed via selective laser sintering, and their mechanical energy absorption capabilities under the quasi-static compression condition were compared. Novel TPMS structures were then designed by blending the investigated TPMS structures, and their compressive properties and deformation mechanism were explored. More >

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Fengchao Wang^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011068
Abstract Gas permeation through nanopores is a long-standing research interest because of its importance in fundamental science and many technologies. The free molecular flow is conventionally described by Knudsen theory, under the diffuse reflection assumption. Recent experiments reported ballistic molecular transport of gases, which urges for the development of theoretical tools to address the predominant specular reflections on atomically smooth surfaces. Here we develop a generalized Knudsen theory, which is applicable to various boundary conditions covering from the extreme specular reflection to the complete diffuse reflection [1]. Our model overcomes the limitation of Smoluchowski model, which More >

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Chenyu Liang¹, Bo Zeng², Mai Tanaka³, Andrea Kannita Noy¹, Matthew Barrett¹, Erica Hengartner¹, Abygale Cochrane⁴, Laura Garzon¹, Mitchell Litvinov⁵, Dietmar Siemann³, Xin Tang^1,3,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011126
Abstract Cancer accounts for 12.6% of all human deaths worldwide and 90% of cancer-related deaths are due to metastasis: the dissemination of invasive tumor cells from the primary tumors to other vital organs [1-3]. However, how these invasive tumor cells coordinate with each other to achieve the dissemination remains unclear. Recently we discovered that human tumor cells can initiate and transmit previously unknown long-distance (~100s m) intercellular biochemical waves in a microenvironment-mechanics-regulated manner. [4-5] In this presentation, we will present our new results on (1) the 2D/3D spatial-temporal characterization of the long-distance and the intra-/inter-cellular Ca²⁺ signals; More >

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Miao Huang¹, Maedeh Lotfi¹, Heyang Wang⁴, Hayley Sussman⁵, Kevin Connell¹, Quang Vo¹, Malisa Sarntinoranont¹, Hitomi Yamaguchi¹, Juan Guan², Xin Tang^1,3,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011130
Abstract Mechanotransduction, i.e., living cells sense and transduce mechanical forces into intracellular biochemical signaling and gene expression, is ubiquitous across diverse organisms. Increasing evidence suggests that mechanotransduction significantly influences cell functions and its mis-regulation is at the heart of various pathologies. A quantitative characterization of the relationship between mechanical forces and resulted mechanotransduction is pivotal in understanding the rules of life and innovating new therapeutic strategies [1-3]. However, while such relationship on the cell surface membrane and cytoskeleton have been well studied, little is known about whether/how mechanical forces applied on the cell interior nucleus (“headquarter… More >

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Suhwan Yun^1,*, Wonhee Park¹, Duckhee Lee¹, Teasoon Kwon¹, Heeup Lee¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011343
Abstract This study examines the effectiveness of Pressure Relief Ducts (PRDs) in mitigating pressure fluctuations within single-track parallel tunnels of undersea railways during high-speed train operations. Computational fluid dynamics analysis was conducted under five conditions: without PRDs and with PRDs installed at intervals of 250m, 500m, 750m, and 1,000m. The analysis evaluated internal train travel within the tunnel and calculated both internal and external pressure fluctuations of the train. Safety standards were applied to assess cabin pressure fluctuations. Results revealed a significant reduction of approximately 30% in external cabin pressure fluctuations with PRD application, meeting safety More >

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Ryan Murphy^1,*, Dilaksan Thillaithevan¹, Matthew Santer¹, Rob Hewson¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011402
Abstract In this work we describe the multiscale optimization of non-linear structures. This work moves beyond classical multiscale optimization for linear problems to account for large deformations occurring across the scales of the problem. A multiscale approach is adopted based on the homogenization theory which is used to characterize a parameterized representative volume element (RVE). This RVE characterization is undertaken for both changes in the geometry and the strain applied to the RVE. This latter is a key difference between multiscale approaches for non-linear problems and those for linear problems. This is because the characteristics of… More >

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Guochen Ding¹, Jing Zhang¹, Shurong Ding^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011410
Abstract Zirconium alloys have high strength, high corrosion resistance and low neutron absorption cross section, widely served as the nuclear cladding tubes or some other structural components. During the storage stage of spent fuels or in the lower-temperature reactor-core locations, the hydrogen atoms within the zirconium alloy components would diffuse to the crack tip owing to stress concentration, possibly initiating delayed hydride cracking (DHC) and posing a potential threat to nuclear safety. In this study, the CDM (continuum damage mechanics)-based multi-field coupling computational models are developed, with the hydride-induced hardening and embrittlement, hydride orientation contributions and… More >

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Beng-Loon Aw^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011990
Abstract This study introduces a novel method that combines Binder Jet Printing (BJP) and Selective Laser Melting (SLM) techniques to achieve unprecedented high-speed and high-resolution 3D printing of fine metal powders in Laser Powder Bed Fusion (LPBF). Our approach comfortably attains a resolution of 0.2 mm, enabling the selective deposition of fine powder (D50: 30 µm) made from multiple materials within a single print layer. We demonstrate the capability of this technique through the printing of a composite structure composed of copper alloy and 18Ni300 Maraging tool steel, showcasing its potential for fast-cooling tooling applications. The More >

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Tsung-Han Li^1,*, Chia-Ming Fan¹, Po-Wei Li²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012120
Abstract The generalized finite difference method (GFDM), which cooperated with the fictitious-nodes technique, is proposed in this study to accurately analyze three-dimensional boundary value problems, governed by high-order partial differential equations. Some physical applications can be mathematically described by boundary value problems governed by high-order partial differential equations, but it is non-trivial to analyze the high-order partial differential equations by adopting conventional mesh-based numerical schemes, such as finite difference method, the finite element method, etc. In this study, the GFDM, a localized meshless method, is proposed to accurately and efficiently solve boundary value problems governed by… More >

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Ruoyan Li^1,2, Wenjing Ye^1,*, Yijun Liu²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012150
Abstract A modern approach to control sound is through the development of sound-control materials/structures, which enable a wide range of applications such as noise reduction and non-contact particle manipulation. Designing these sound-controlling metamaterials requires accurate and efficient simulation methods for solving the unbounded acoustic wave equation with changing domain and frequencies. To facilitate the design optimization, surrogate models that are significantly more efficient than full-scale simulations are highly desirable. In this work, we present our recent work on the development of such surrogate models based on the concept of Fourier neural operators (FNO). FNO was originally… More >

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Tan Phat Lam^1,2, Chia-Ming Fan^1,*, Chiung-Lin Chu¹, Fu-Li Chang¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012160
Abstract In this study, the combination of the Method of Fundamental Solutions (MFS) and the Particle Swarm Optimization (PSO) is proposed to accurately and stably analyze the multi-dimensional diffusion equations. The MFS, truly free from mesh generation and numerical quadrature, is one of the most promising meshless methods. In the implementation of the MFS, only field points and sources, which are located out of the computational domain, are required. The numerical solutions of the MFS is expressed as a linear combination of diffusion fundamental solutions with different strengths. The unknown coefficients in the solution expressions can… More >

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Yihui Wang¹, Qishi Li¹, Wei Sha¹, Mi Xiao^1,*, Liang Gao¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012356
Abstract Heat conduction structures are widely employed in thermal management of electronic components across aerospace, electronics, and related domains, ensuring sustained operational performance and longevity. However, conventional approaches to heat conduction structure design are encumbered by constraints on design flexibility, suboptimal thermal dissipation characteristics, and inefficiencies. Addressing these limitations, this study presents a novel approach leveraging deep learning for the design of anisotropic heat conduction structures. Initially, a pre-trained deep generative model is deployed to enable real-time generation of topologically functional cell (TFC) at the microscale. With the introduction of rotation angles of each TFC, these More >

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Gwang Mok Kim^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012583
Abstract This study summarized a part of the research conducted by Kim et al. [1]. The utilization of low-lime calcium silicate cement presents a promising avenue for reducing CO2 emissions in construction fields. Ordinary Portland cement pastes with the type of calcium silicate cement powder were fabricated and solidified under carbonation curing conditions. The physicochemical characteristics of the pastes were examined via variable tests including initial setting and flow characteristics, compressive strength and so on. Limestone and silica fume were employed for the synthesis of the calcium silicate cement used here. The content of calcium silicate More >

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Qi Gu^1,2,3,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012648
Abstract In the complex field of organ fabrication, which combines developmental biology, bioinspired engineering, and regenerative medicine, the main goal is to closely mimic the detailed structure and function of natural organs. While advanced techniques like 3D bioprinting have made significant strides but often fall short in accurately emulating the dynamic, self-organizing processes fundamental to organogenesis, particularly the nuanced patterns of cellular motility and spatial organization [1]. This issue highlights a big challenge in tissue engineering: making synthetic organs that truly match their natural models. Our work aims to bring together principles of developmental biology with… More >

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Yoshitaka Umeno^1,*, Atsushi Kubo², Emi Kawai¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.012708
Abstract Fatigue fracture accounts for a substantial fraction of failure cases in industrial products, especially in metal materials. While the mechanism of fatigue crack propagation can be understood in the mechanical point of view considering the effect of microstructures and crystal orientations on crack growth, there is still much room for investigations of the mechanism of fatigue crack formation under cyclic loading. It is widely understood that the fatigue crack formation in macroscopic metal materials originates in the persistent slip band (PSB) formed as a result of self-organization of dislocation structures [1]. Nevertheless, the PSB formation… More >

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Lu Liu¹, Bo Li^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012741
Abstract Powder-Bed Fusion (PBF) is a prominent metal additive manufacturing technology known for its adaptability and commercial viability. However, it is often hindered by defects such as voids, un-melted particles, microcracking, and columnar grains, which are generally more pronounced than those found in traditional manufacturing methods. Microcracking, in particular, poses a significant challenge, limiting the use of PBF materials in safety-critical applications across various industries. This study presents an advanced computational framework that effectively addresses the complex interactions of thermal, fluid dynamics, structural mechanics, crystallization, and fracture phenomena at meso and macroscopic levels. This framework has More >

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Zhanhua Wang^1,*, Hesheng Xia¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012859
Abstract Selective laser sintering (SLS) is one of the mainstream 3D printing technologies. A major challenge for SLS technology is the lack of novel polymer powder materials with improved Z-direction strength. Herein, a series of polymer materials with covalent adaptable networks structure were utilized to solve the challenge of SLS. To verify this concept, novel kinds of cross-linked polyurethanes (TPU) or polydimethylsiloxane (PDMS) elastomers containing dynamic covalent bonds including halogenated bisphenol carbamate bonds [1], hindered pyrazole urea bonds [2] or Diels–Alder bonds [3] were synthesized. The obtained dynamic TPU or PDMS exhibited excellent mechanical strength and More >

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Hideki Mori^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012935
Abstract To design the mechanical strength of iron, it is very important to clarify the detail of dislocation dynamics in Body-Centered Cubic (BCC) Iron. The dislocation core structures are typically confined to the nanometer scale.
This implies that the resistance force from discrete atomic columns has a direct bearing on dislocation mobility.
Recently, we've developed a high-fidelity inter-atomic potential leveraging neural networks built upon density functional theory (DFT) data. By conducting dislocation dynamics simulations, we've addressed shortcomings inherent in classical inter-atomic potential approaches. Nonetheless, a significant challenge persists: a three- to four-fold deviation exists between More >

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Ho-Yin Wong¹, Guan-Yan Yang^1,*, Kuo-Hui Yeh², Farn Wang¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-4, 2024, DOI:10.32604/icces.2024.013279
Abstract 1 Introduction
This paper explores various strategies to enhance neural network performance, including adjustments to network architecture, selection of activation functions and optimizers, and regularization techniques. Hyperparameter optimization is a widely recognized approach for improving model performance [2], with methods such as grid search, genetic algorithms, and particle swarm optimization (PSO) [3] previously utilized to identify optimal solutions for neural networks. However, these techniques can be complex and challenging for beginners. Consequently, this research advocates for the use of SSO, a straightforward and effective method initially applied to the LeNet model in 2023 [4]. SSO optimizes… More >

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Guan-Yan Yang^1,*, Yi-Heng Ko¹, Farn Wang¹, Kuo-Hui Yeh², Haw-Shiang Chang¹, Hsueh Yi Chen¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-4, 2024, DOI:10.32604/icces.2024.013297
Abstract 1 Introduction
Ensuring the absence of exploitable vulnerabilities within applications has always been a critical aspect of software development [1-3]. Traditional code security testing methods often rely on manual inspection or rule-based approaches, which can be time-consuming and prone to human errors. With the recent advancements in natural language processing, deep learning has emerged as a viable approach for code security testing. In this work, we investigated the application of deep learning techniques to code security testing to enhance the efficiency and effectiveness of security analysis in the software development process. In 2022, Wartschinski et al.… More >

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