Weihang Qiu¹, Bo Zhang², Zhaofeng Gu^2,*, Zijun Liu², Xiang Shen², Yimin Chen^1,2,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.089518 - 18 September 2026

Abstract This study presents electron-beam evaporated As₂Se₃ films tailored for far-infrared heterogeneous metalenses. Characterization via X-ray diffraction and Raman spectroscopy reveals a structurally relaxed network in the films compared to bulk glass, resulting in enhanced infrared transmittance, a reduced refractive index, and a lower glass transition temperature. However, thermal expansion mismatch is found to induce cracking in thick films subjected to thermal cycling. The As₂Se₃/BaF₂ system demonstrates superior adhesion, attributed to a minimal thermal expansion mismatch (Δα < 2.5 × 10⁻⁶°C⁻¹). Notably, an 8 μm thick film endures over thirty rapid heating and liquid nitrogen quenching cycles without More >

Minghui Tan^1,2, Fei Wang^2,*, Shan Yuan^1,2, Xinli Li¹, Jingxia Gao², Jinping Zhang^2,*, Yong Zhang², Lei Shi³

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.088891 - 18 September 2026

Abstract Li/Na/K-ion batteries show huge potential in next-generation energy storage systems, but the limited theoretical capacity of commercial graphite anodes and the relatively large radius of Na/K ions seriously restrict further development, making it urgent to develop new high-performance anode materials. This article begins with the research hotspots of selenide anode materials and systematically reviews the applications of DFT calculations in the field of Li/Na/K-ion battery selenide anodes, covering transition metal dichalcogenides (MoSe₂, TiSe₂), Janus structures (VSeTe, WSSe), transition metal carboselenides (Zr₂Se₂C, Sc₂Se₂C), multi-anion bridged phosphoselenides (MoScP₂Se₆), main-group element layered selenides (Si₂Se₂, SiSe₂, β-GeSe, γ-GeSe, β-CSe, GeSeNS, SnS_2(1−x)Se_2x), as well… More >

Huo Ye¹, Jiantong Li², Lingna Xu^3,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.087654 - 18 September 2026

Abstract SF₆ is the primary insulating and arc extinction medium in gas-insulated switchgear (GIS). Sulfur hexafluoride (SF₆) decomposes to create diagnostic markers, such as sulfur dioxide (SO₂), thionyl fluoride (SOF₂), and hydrogen sulfide (H₂S) when electrical problems occur, such as partial discharge and local overheating. Accurate quantification of these fault-marker gases is important for the early identification of insulation defects and the condition assessment of SF₆-insulated equipment. Molybdenum disulfide (MoS₂) is a well-known and atomically thin van der Waals semiconductor that has attracted considerable attention as a platform for gas-sensing applications. This is due to its large accessible surface area,… More >

Holy Oghenewona Ovwiurhobo¹, Marius O. Eji², Adil Alshoaibi³, Ndanduleni Lethole⁴, Chawki Awada³, Shumaila Islam³, Nisrin Alnaim³, Fabian I. Ezema^1,4,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.086712 - 18 September 2026

Abstract Several studies have reported a growing interest in nanomaterials beyond conventional graphite, driven by the rapid global demand for sustainable, high-performance energy storage. Among these materials, two-dimensional (2D) transition metal chalcogenides (TMCs), molybdenum- and tin-based systems such as molybdenum disulfide (MoS₂) and tin (IV) disulfide (SnS₂) in particular, have emerged as promising candidates for next-generation electrochemical energy storage devices (EESDs). This is owing to their unique X-M-X sandwich architectures, tunable electronic properties, and versatile intercalation chemistry. Despite several studies on 2D TMCs and their applications in EESDs, a gap still exists, as there is no comprehensive… More > Graphic Abstract

Zhijie Lin¹, Chao Yang^1,2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.090428 - 15 September 2026

Abstract This article has no abstract. More >

Jihoon Moon^*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.089115 - 15 September 2026

Abstract Large language models and retrieval-augmented generation (RAG) systems are increasingly employed to transform evidence into decision-facing briefings, alerts, and recommendations. In these settings, explainability cannot be evaluated merely by fluency, readability, or factual correctness. A briefing may be factually correct while still being unsafe if it cites sources that do not substantiate the claim, suppresses uncertainty, converts correlational evidence into causal language, recommends an unauthorized action, or leaves no auditable path for human review. This review synthesizes 104 sources spanning explainable natural language processing (NLP), faithful explanation, hallucination and factuality evaluation, RAG, citation faithfulness, uncertainty… More >

Xiusen Wang^1,*, Zheng Fang², Jie Chen^2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088952 - 15 September 2026

Abstract Complex networks in cyber–physical, transportation, and information infrastructures operate under topology variations, unmeasured disturbances, and limited actuation. This paper proposes robust disturbance-aware data-driven decision control (R-D3C), which couples a sliding-window graph-regularized estimator, disturbance-envelope adaptation, sparse intervention allocation, receding-horizon optimization, and a robust safety projection. The theory directly bounds the dynamic prediction regret of the implemented sliding-window estimator. A checkable sufficient condition for safety-filter feasibility is coupled with an explicit slack-and-backup fallback when the strict projection is infeasible. Practical input-to-state stability and sparse-allocation risk reduction are established. The nominal comparison uses 30 paired runs with standard More >

Yongfeng Zhang^1,*, Jie Chen^2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088561 - 15 September 2026

Abstract Speaker verification on phones, wearables, and voice-enabled Internet-of-Things gateways must balance local privacy with reliable decisions under adverse audio. Existing privacy-preserving verification schemes generally protect a fixed representation, whereas edge-offloading policies usually adapt computation without attaching an explicit feature-disclosure budget; neither line alone coordinates trial uncertainty, communication state, and privacy expenditure. This paper presents privacy-preserving uncertainty-aware adaptive feature offloading (P-UAFO), an edge-intelligence framework that keeps raw audio local and transmits only clipped, projected, quantized, and Gaussian-perturbed intermediate features when their expected benefit justifies resource cost. Its online pipeline first estimates decision uncertainty and resource state,… More >

Daniel Šolc^1,*, René Ivančák¹, Juraj Gazda¹, Eva Chovancová¹, Eugen Šlapák¹, Gabriel Bugár²

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088224 - 15 September 2026

Abstract Autonomous mobile robots increasingly rely on three tightly coupled capabilities: low-latency wireless connectivity, edge-side compute acceleration, and simulation-based pre-training of perception and control models. Each has been studied extensively in isolation, but their joint deployment on a single platform remains rare. This paper presents an integrated framework combining a private 5G Stand-Alone (5G SA) access network, a Multi-Access Edge Computing (MEC) layer with adaptive offloading, and a digital-twin training pipeline in NVIDIA Omniverse Isaac Sim. It is realised on the Yahboom ROSMASTER R2 with an NVIDIA Jetson Orin NX, a Quectel RM530N-GL 5G modem in… More >

Xiaolei Yin, Zihan Wang, Sanfeng Zhang^*, Shouwei Li^*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088083 - 15 September 2026

Abstract On-chain risky address identification is an important task in blockchain security analysis and digital asset risk management. In practical on-chain risk control, however, risky addresses are usually far fewer than benign ones. Fund flows also follow complex propagation paths and strict temporal orders, which makes it difficult for existing methods to handle class imbalance, structural semantic modeling, and information leakage under temporal split settings at the same time. To address these challenges, this paper proposes AMLHunter, an on-chain risky address identification method based on temporally consistent transaction semantic constraints and generative graph augmentation. AMLHunter first… More >