Duo Zhang

Exciton Dissociation Strategy‐Guided Design of High‐Sensitivity COF‐Based Gas Sensors

Hongtao Jiang, Duo Zhang, Xueyu Wang, Tingting Zhou et autres

ABSTRACT Exciton binding energy acts as a key modulator of the optoelectronic performance of semiconductor devices. Nevertheless, dedicated research addressing its impacts on gas sensing reactions for photoexcited semiconductor gas sensors is rarely reported. To uncover the intrinsic correlation between exciton effects …

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N-Docosane microcapsules with melamine-formaldehyde/TiO2 shells for thermal regulation in mining polyurethane materials

Duo Zhang, Chengcheng Jiao, Hu Wen, Maoxia Liu et autres

cn (code pays fourni par la source)

Ground-State Flavin-Dependent Enzymatic Catalysis for Formal Hydrophosphinylation of Alkenes

Duo Zhang, Chentao Liu, Kangni Yin, Chunbo Wang et autres

Organophosphorus compounds constitute an important class of functional molecules with broad relevance in synthesis, catalysis, and medicinal chemistry. Despite their importance, biocatalytic C-P bond formation remains rare, with only a limited number of examples identified from natural product biosynthesis. Here we report …

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Regulation of crystal-habit evolution in the flux growth of CoSe2

Renbin Yuan, Duo Zhang, Hui Li, X Zhao et autres

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Integrative Multi-omics Analysis Identifies B3GNT3 as a Prognostic Biomarker Linking Microbiota Dysbiosis to Adverse Outcomes in Lung Adenocarcinoma

W Song, Jinhe Xu, Jianqing Lian, Zhangyi Bao et autres

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Hard‐Sphere/Lone‐Pair Cation Ordering as a Designable Polar Order Parameter in Phosphate Open Frameworks

Duo Zhang, Jun Deng, Haodong Li, X Zhao et autres

ABSTRACT Polar materials, enabled by non‐centrosymmetric structures and macroscopic dipoles, underpin key functionalities (e.g., piezoelectricity, pyroelectricity, and second‐order nonlinear optics) and serve as model platforms for symmetry‐breaking and structure‐property coupling. Yet polar‐material discovery and design still rely heavily on a few classical …

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Scientific AI systems require domain-aware robustness validation

J H Zhang, Jiahao Song, Xiu-Cheng Wang, Fupeng Li et autres

AI has become an essential tool in many areas of scientific discovery. However, its robustness, particularly in high-stakes scientific applications, remains insufficiently understood. While adversarial vulnerabilities have been widely studied in image recognition, their implications in scientific disciplines, where physical constraints and …

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Comparative virome analysis of lake and domestic wastewater revealed the unexpected presence of swine acute diarrhea syndrome coronavirus and Ginkgo-associated viruses

Fei Xu, Huiling Qin, Fan Yu, Zhengyi Qiu et autres

Introduction Viruses in water bodies pose potential threats to human health and ecological environments. Therefore, exploring viral diversity in human-associated lakes and domestic wastewater is crucial. Methods In this study, we performed comparative viromic analysis of lake and domestic wastewater samples collected …

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Numerical simulation of adiabatic shear failure behavior induced by the surface depressions of a penetrator impacting concrete

Duo Zhang, Yulong Zheng, Xuguang Chen, He Huang

To reveal the mechanism of surface pit-induced adiabatic shear failure in titanium alloy penetrators during concrete penetration, this paper establishes a theoretical framework by integrating cavity expansion theory and adiabatic shear theory. Based on the modified Johnson-Cook (MJC) constitutive model, numerical simulations …

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Research on the Differentiated Impact of AI-Enabled Education Based on Multidimensional Competency Profiling

Duo Zhang, Yi Qu, Min Zhang, Zuanao Xie

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Leveraging a Multi-Dimensional Competency Analysis Model for AI-Driven Innovation in Rural Vocational Education

Duo Zhang, Yi Qu, Yan Zeng, Zuanao Xie

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Aspect ratio-dependent fragmentation and debris cloud evolution in hypervelocity impact of cylindrical projectiles

Duo Zhang, Gongshun Guan, Jianing Zhang

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