Samir Dahmane¹, Mohammed Hadj Meliani¹, Mohamed Belabbas², Ismail Ouadha³, Mohammed Traiche¹, Noureddine Bouteldja^1,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.083127 - 23 July 2026

Abstract Zinc substitution in Cd_1−xZn_xTe (CZT) alloys emerges as a powerful strategy for engineering their structural, elastic, mechanical, acoustic and thermal properties, thereby enhancing their potential for high-performance optoelectronic and radiation detection applications. In this work, a comprehensive first-principles investigation based on Density Functional Theory, within both the Generalized Gradient Approximation and the Local Density Approximation, is conducted to systematically explore the composition-dependent behavior of CZT across the full concentration range (0 ≤ × ≤ 1) in the cubic zinc-blende phase. The calculated elastic constants satisfy the Born stability criteria for all compositions, confirming the intrinsic… More >

Ahmed Ismail Ebada^1,2, Yasmeen Abu-Seif^2,*, Hrushikesh Pardeshi^2,*, Nesma El-Sayed¹

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.081804 - 23 July 2026

Abstract The integration of Deep Learning, Deep Reinforcement Learning, and massive Vision-Language-Action (VLA) foundation models has catalysed a profound paradigm shift in robotics, transitioning systems from rigid automation to dynamic, open-world autonomy. Despite transformative breakthroughs in fields such as healthcare, ranging from adaptive robotic rehabilitation to autonomous surgical manipulation and silver care, widespread real-world deployment remains severely bottlenecked. This limitation primarily stems from the “Reality Gap” inherent to sim-to-real transfer and a fundamental epistemological tension: the stochastic, “black-box” nature of unconstrained neural networks fundamentally conflicts with the deterministic, zero-violation safety guarantees demanded by physical robotics. To… More >

Ashish Phogat¹, Akash Ahlawat¹, Virendra Singh², Deepak Chhabra^1,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.080735 - 23 July 2026

Abstract Polyether ether ketone (PEEK) is a radical filament with excellent strength equivalent to cortical bone and high thermal-mechanical properties. PEEK’s acquisition is acceptable in the fabrication of cranio-maxillofacial implants because of its exceptional strength-to-weight ratio and biocompatibility. However, its implementation in fused filament fabrication (FFF) is impeded by the lack of a cohesive optimisation framework that involves varying vital parameters: layer height, infill density and two post-process parameters: annealing temperature, annealing time, which affect its mechanical performance. This research work introduces a comprehensive methodology that integrates experimental design, hybrid Genetic Algorithm Artificial Neural Network (GA-ANN)… More >

Kuo-Chun Tseng^*, I-Chia Chen, Yu-Chieh Cho

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.076965 - 23 July 2026

Abstract Wireless Sensor Networks (WSNs) are important infrastructure for smart-city applications, such as environmental monitoring, public safety, and smart transportation. However, finding effective sensor locations is an NP-hard problem because a deployment must satisfy sensing coverage and communication connectivity while minimizing the number of sensors. Following the basic framework of a previous study, this study replaces the original optimization algorithm with the Amplitude-Ensemble Quantum-inspired Tabu Search (AEQTS) algorithm and retains the same entanglement-like initialization strategy, resulting in the proposed AEQTSwE (AEQTS with Entanglement) framework for the WSN deployment problem. AEQTSwE uses a quantum-inspired search mechanism and More >

Md. Liton Hossain^1,*, Md. Zahid Ansary², Jiefeng Hu¹, Syed Islam¹, Maaspaliza Azri³, Norezmi Md. Jamal⁴

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.079961 - 12 July 2026

Abstract Inverters play an essential and indispensable role in energy conversion within modern electrical power systems. Conventional two-level inverters (2LIs) have been widely adopted across industrial applications due to their simple structure and mature control strategies. However, 2LIs exhibit several limitations when interfacing with utility-scale grid systems, including higher harmonic distortion, increased switching stress, and reduced efficiency in high-voltage and high-power operations. Multilevel Inverters (MLIs) have emerged as a transformative solution, enabling high-voltage and high-power applications with improved efficiency and significantly lower harmonic distortion compared to traditional two-level configurations. This review investigates the broad range of… More >

Xing Wen¹, Huan Chen¹, Ning Wang^1,*, Yu Song¹, Zhuqiao Qiao², Bin Zhang¹

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073567 - 12 July 2026

Abstract High voltage direct current (HVDC) systems play a pivotal role in long-distance, high-capacity, and cross-regional power transmission. However, their complex structure, wide-ranging impact of faults, and stringent safety requirements pose significant challenges to operational stability. Conventional model-based and data-driven methods for tasks such as text classification, fault diagnosis, and operation and maintenance support suffer from limited scalability and interpretability. Recent advances in large language model (LLM) provide new opportunities to address these issues. This paper provides a systematic review of LLM applications in HVDC systems. Firstly, it introduces the core architecture and training mechanisms of… More >

Hanaa I. Mohammed¹, Eman M. Nasir^2,*, Iqbal S. Naji²

Chalcogenide Letters, Vol.23, No.6, 2026, DOI:10.32604/cl.2026.079657 - 02 July 2026

Abstract Thin films of Cu_xZn_1−xS nanocomposite with varying copper content (x = 0.3, 0.5, and 0.7) were successfully synthesized by the pulsed laser deposition (PLD) technique from their fabricated powders by the precipitation method for optoelectronic applications. The impact of Cu content on the film’s structural, morphological, optical, and electrical characteristics was investigated. Elemental composition analyses indicated that thin CZS films consisted only of their constituent elements and were free of any noted impurities. XRD patterns demonstrated that all as-grown thin films were polycrystalline in nature and adopted various planes and phases of CuS and ZnS binary… More >

Feng Dai¹, Jiajun Xie¹, Yingmin Liu¹, De Heng¹, Yinfu Han^2,3, Shanshan Hou^2,3,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.080437 - 30 June 2026

Abstract With the increasing emphasis on green, low-carbon, and sustainable development in shale gas drilling fluids, the utilization of waste biomass resources to develop high-performance drilling fluid additives has emerged as an important research direction that balances engineering requirements with environmental responsibility. In this study, waste cotton–derived polyanionic cellulose (bio-PAC) was employed as the base material, and sulfonate and carboxylate functional groups were introduced via free-radical graft copolymerization to synthesize a modified cellulose polymer, PAC-g-(sodium vinyl sulfonate, SVS/sodium methallyl sulfonate, SMAS/methacrylic acid, MAA). Structural characterization confirmed the successful grafting of the target functional groups onto the… More >

Gen Li^1,2, Shuhan Liu², Junhao Cheng², Ting He², Zhihong Chen^1,*, Baoyang Lu^1,2,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.079972 - 30 June 2026

Abstract Hydrogel strain sensors are widely used in wearable electronics, human-machine interfaces, flexible electronics, owing to their ability to convert mechanical deformation into electrical signals. This function requires sensor materials to possess both high compliance and electrical conductivity. Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) has emerged as an ideal candidate for hydrogel strain sensors due to its soft and flexible mechanical properties, tunable mechanical performance, mixed ionic-electronic conductivity, and excellent processability. Although extensive research has been conducted on PEDOT:PSS-based hydrogel strain sensors, there is currently no systematic review that elucidates the translation pathway from high-performance materials design and advanced fabrication More >

Lei Zeng¹, Wei Wei^1,2, Liu Yang¹, Zhihong Wang^1,*, Qiaoguang Li^2,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.079607 - 30 June 2026

Abstract Natural polymers (NPs) are widely distributed in plants, animals, and microorganisms. They can be classified into three habitat-based groups, namely terrestrial polymers, marine polymers, and extreme natural polymers. This review summarizes their structural features, environmental adaptation mechanisms, and functional attributes. It also outlines the evolution of extraction technologies from traditional acid–alkali and mechanical methods to modern green solvent systems. The roles of physical modification and chemical derivatization in performance regulation and functional enhancement are examined. Artificial intelligence methods are introduced to support structure–property prediction, formulation design, and process optimization. Molecular dynamics and other computational approaches More >