Pollawat Charoeythornkhajhornchai, Piyamas Saehia, Thidaporn Butchan, Nawapol Lertumpai, Worawut Muangrat^*

Journal of Renewable Materials, Vol.13, No.4, pp. 817-827, 2025, DOI:10.32604/jrm.2025.02024-0017 - 21 April 2025

Abstract Herein, cure characteristics, morphology, and mechanical properties of natural rubber filled with activated carbon-based materials were investigated. Carbon-based materials were prepared from bagasse, coffee grounds and pineapple crowns by the pyrolysis method at temperatures in the range of 300°C. As-synthesized carbon materials were characterized by optical microscopy (OM), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR) to analyze size distribution, morphology, and functional groups, respectively. OM and SEM analysis revealed that particles, flakes, and a small quantity of fiber-like carbon were obtained using bagasse and pineapple crown as raw materials, while honeycomb-like carbon materials… More > Graphic Abstract

Yaping Qi^1,*, Weijie Yang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1555-1559, 2025, DOI:10.32604/cmc.2025.064061 - 16 April 2025

Abstract AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms such as Digital Catalysis Platform (DigCat) and Dynamic Database of Solid-State Electrolyte (DDSE) demonstrate how machine learning and predictive modeling can improve catalyst and solid-state electrolyte development. These databases facilitate data standardization, high-throughput screening, and cross-disciplinary collaboration, addressing key challenges in materials informatics. As AI techniques advance, materials databases are expected to play an increasingly vital role in accelerating research and innovation. More >

Shaya A. Alshaya^*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3075-3095, 2025, DOI:10.32604/cmc.2025.062360 - 16 April 2025

Abstract The integration of visual elements, such as emojis, into educational content represents a promising approach to enhancing student engagement and comprehension. However, existing efforts in emoji integration often lack systematic frameworks capable of addressing the contextual and pedagogical nuances required for effective implementation. This paper introduces a novel framework that combines Data-Driven Error-Correcting Output Codes (DECOC), Long Short-Term Memory (LSTM) networks, and Multi-Layer Deep Neural Networks (ML-DNN) to identify optimal emoji placements within computer science course materials. The originality of the proposed system lies in its ability to leverage sentiment analysis techniques and contextual embeddings… More >

Salwa A. Mohamed¹, Mohamed A. Eltaher^2,3,*, Nazira Mohamed¹, Rasha Abo-bakr⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 515-538, 2025, DOI:10.32604/cmes.2025.061897 - 11 April 2025

Abstract The nonlinear post-buckling response of functionally graded (FG) copper matrix plates enforced by graphene origami auxetic metamaterials (GOAMs) is investigated in the current work. The auxetic material properties of the plate are controlled by graphene content and the degree of origami folding, which are graded across the thickness of the plate. The material properties of the GOAM plate are evaluated using genetic micro-mechanical models. Governing nonlinear eigenvalue problems for the post-buckling response of the GOAM composite plate are derived using the virtual work principle and a four-variable nonlinear shear deformation theory. A novel differential quadrature More >

Haoran Li^1,2, Yayou Xu³, Zihan Zhang^1,2, Feng Han^1,2, Ye-Tang Pan^2,*, Rongjie Yang²

Journal of Polymer Materials, Vol.42, No.1, pp. 33-55, 2025, DOI:10.32604/jpm.2025.062352 - 27 March 2025

Abstract The thermal stability of lithium-ion battery separators is a critical determinant of battery safety and performance, especially in the context of rapidly expanding applications in electric vehicles and energy storage systems. While traditional polyolefin separators (PP/PE) dominate the market due to their cost-effectiveness and mechanical robustness, their inherent poor thermal stability poses significant safety risks under high-temperature conditions. This review provides a comprehensive analysis of recent advancements in enhancing separator thermal stability through coating materials (metal, ceramic, inorganic) and novel high-temperature-resistant polymers (e.g., PVDF copolymers, PI, PAN). Notably, we critically evaluate the trade-offs between thermal… More >

Baoping Zou^1,2, Jiahao Yin^1,2, Chunhui Cao^1,2,*, Xu Long^3,*

Journal of Polymer Materials, Vol.42, No.1, pp. 255-275, 2025, DOI:10.32604/jpm.2025.062081 - 27 March 2025

Abstract The ongoing operation of subway systems makes existing tunnels vulnerable to deformations and structural damage caused by adjacent foundation pit construction. Such deformations-manifesting as horizontal displacement, heightened lateral convergence, and internal force redistribution-may significantly compromise subway operational safety. Grouting remediation has become a widely adopted solution for tunnel deformation control and structural reinforcement. Developing optimized grouting materials is crucial for improving remediation effectiveness, ensuring structural integrity, and maintaining uninterrupted subway operations. This investigation explores the substitution of fine mortar aggregates with 0.1 mm discarded rubber particles at varying concentrations (0%, 3%, 6%, 9%, 12%, and More >

Jinliang Luo, Dongliang Li, Yang Li, Miaojiao Wang, Xiaomin Kang, Zhitao Hu^*

Journal of Polymer Materials, Vol.42, No.1, pp. 125-140, 2025, DOI:10.32604/jpm.2024.059636 - 27 March 2025

Abstract With the rapid development of flexible wearable electronic products, their application fields and demands are increasing, posing new challenges to flexible conductive materials. This paper selected flexible polydimethylsiloxane (PDMS) as the substrate. In order to enhance the adhesion between the substrate and the metal coating, dopamine and silanization were used to co-modify its surface. A conductive layer of metallic copper is deposited on its surface using an inexpensive, easy-to-use electroless plating technique. By optimizing the process conditions, it is found that a uniform copper layer of about 0.6 μm can be formed on the surface More >

Lei Zhang^1,2,*, Hangyuan Deng^1,2

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1-11, 2025, DOI:10.32604/cmc.2025.062666 - 26 March 2025

Abstract NJmat is a user-friendly, data-driven machine learning interface designed for materials design and analysis. The platform integrates advanced computational techniques, including natural language processing (NLP), large language models (LLM), machine learning potentials (MLP), and graph neural networks (GNN), to facilitate materials discovery. The platform has been applied in diverse materials research areas, including perovskite surface design, catalyst discovery, battery materials screening, structural alloy design, and molecular informatics. By automating feature selection, predictive modeling, and result interpretation, NJmat accelerates the development of high-performance materials across energy storage, conversion, and structural applications. Additionally, NJmat serves as an… More >

Qingxiang Pei^1,2, Fan Li^2,3, Ziheng Fei⁴, Haojie Lian^2,3, Xiaohui Yuan^1,2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 79-96, 2025, DOI:10.32604/cmc.2025.061741 - 26 March 2025

Abstract This paper employs the Direct Finite Element Squared (DFE²) method to develop Sparse Polynomial Chaos Expansions (SPCE) models for analyzing the electromechanical properties of multiscale piezoelectric structures. By incorporating variations in piezoelectric and elastic constants, the DFE² method is utilized to simulate the statistical characteristics—such as expected values and standard deviations—of electromechanical properties, including Mises stress, maximum in-plane principal strain, electric potential gradient, and electric potential, under varying parameters. This approach achieves a balance between computational efficiency and accuracy. Different SPCE models are used to investigate the influence of piezoelectric and elastic constants on multiscale piezoelectric More >

Wenna He, Yichen Yang, Dongqiong Liang, Heng Cheng^*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1415-1414, 2025, DOI:10.32604/cmc.2025.059839 - 26 March 2025

Abstract In this paper, we develop an advanced computational framework for the topology optimization of orthotropic materials using meshless methods. The approximation function is established based on the improved moving least squares (IMLS) method, which enhances the efficiency and stability of the numerical solution. The numerical solution formulas are derived using the improved element-free Galerkin (IEFG) method. We introduce the solid isotropic microstructures with penalization (SIMP) model to formulate a mathematical model for topology optimization, which effectively penalizes intermediate densities. The optimization problem is defined with the numerical solution formula and volume fraction as constraints. The… More >