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Verified CAS / Academic Author2 Decoded Studies

Prof. ZHANG Wenxiang

Chinese Academy of Sciences

Co-Affiliations:Hengshui University, Center for Wetland Conservation and Research, Hengshui, China

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3900-8

Concentration-Driven Ion Transport Regulated Perovskite Nanocrystal Memristors Enable Reliable Neuromorphic Sensing, Logic Gate Circuits, and Data Security

Memristors, which leverage ion migration for resistance switching, offer breakthroughs in bionic perception, information security, and edge computing but face bottlenecks in functional integration and stability. Herein, we explore all-inorganic Cu3SbI6 nanocrystals (NCs) & PMMA composite memristors (Ag/PMMA&Cu3SbI6/ITO) regulated by NCs doping (0–15 wt%). The devices operate via electric field-induced Ag+ ion migration and conductive filament dynamics, where NCs act as local electric field enhancers. At a doping concentration of 4 wt%, stable bipolar switching (Ron/Roff > 2 × 10^3, cycling endurance > 700 cycles) enables the simulation of biological nociception/Pavlovian reflexes and the construction of basic logic gates. At 2 wt%, sparse NCs induce random filament formation for encryption key extraction, which integrates with 4 wt% logic gates to enable efficient encryption/decryption of text/image data. This work provides a strategy for designing multifunctional memristors by regulating ion transport through nanocrystal concentration, offering references for related functional integration and cross-disciplinary applications.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2026021002

Model-Averaging Species Sensitivity Distribution for Phthalate Esters and Ecological Risk Assessment in Typical Freshwater Basins of China

The construction of species sensitivity distribution (SSD) models using a single function requires optimization to reduce subjectivity. To minimize model selection uncertainty and align with Chinese freshwater organism effect criteria, this study integrated native freshwater species toxicity data, including experimental and predicted values from interspecies correlation estimation (ICE) and acute-chronic ratio (ACR) methods, and applied a model-averaging approach to construct SSD models for seven representative phthalate esters (PAEs): dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DnBP), butyl benzyl phthalate (BBP), bis(2-ethylhexyl) phthalate (DEHP), diisodecyl phthalate (DIDP), and dihexyl phthalate (DnHP). The derived short-term predicted no-effect concentrations (PNECacute) for DMP, DEP, DnBP, BBP, DEHP, DIDP, and DnHP were 16.796, 4.984, 9.064×10⁻², 2.490×10⁻¹, 1.898×10⁻², 1.386×10⁻¹, and 7.428×10⁻² μg·L⁻¹, respectively. Long-term PNECs (PNECchronic) were 3.245×10², 36.500, 1.149, 4.018, 8.949×10⁻², 1.637, and 4.073×10⁻¹ μg·L⁻¹, respectively. These PNECs, based on native species toxicity data and more stringent than existing standards, are recommended as potential references for water quality criteria based on Chinese freshwater organism effects. Ecological risk assessment using the hazard quotient (HQ) method on exposure concentrations from typical Chinese freshwater basins revealed that DEHP and DnBP posed high short-term risks, BBP mainly medium risk, while DMP, DEP, and DnHP showed low or no risk. Long-term risks indicated DEHP at medium to high risk, DnBP mainly medium to low, BBP low or no risk, and DMP, DEP, and DnHP no risk. The overall ecological risk ranking was DEHP > DnBP > BBP > DEP > DMP ≈ DnHP.