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Verified CAS / Academic Author5 Decoded Studies

Prof. ZENG Wei

Faculty of Environmental Science and Engineering, Kunming University of Science and Technology

Research Publications & English Decoded Briefs

Showing 5 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4315-2

Ultra-high-crystallinity transparent glass-ceramic scintillators for high-temperature X-ray imaging

High-temperature X-ray imaging demands scintillators with high crystallinity, efficient scintillation, and robust thermal stability, yet suitable materials remain scarce. Here, we report an ultra-high-crystallinity transparent glass-ceramic (GC) scintillator strategically designed via controllable heat-treatment-induced crystallization. A sequential precipitation method is employed, where cubic CaF2 nanocrystals initially form, subsequently promoting heterogeneous nucleation and growth of hexagonal BaAl2Si2O8. Intrinsic nanoscale phase separation into F-rich and O-rich domains significantly reduces atomic diffusion distances, yielding an unprecedented crystallinity of up to 97.6%. Notably, defect traps (oxygen vacancy defects, likely located within the lattice or at crystalline/amorphous interfaces) enable efficient carrier capture and thermally stimulated release, contributing to remarkable resistance to thermal quenching. Consequently, the GC scintillator maintains 90.6% of its integrated X-ray excited luminescence (XEL) intensity at 300 °C, with the integrated XEL intensity reaching 94.2% of commercial Bi4Ge3O12 (BGO) at room temperature. This enables stable high-temperature X-ray imaging with a spatial resolution of ~10.4 lp mm−1 up to 225 °C. This work provides a versatile pathway for developing high-sensitivity scintillators for extreme-environment X-ray imaging.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202506053

Low-Temperature Micro-Oxidation-Driven Synergistic Dealkalization and Soil Reconstruction of Red Mud with Coal

Red mud, a highly alkaline industrial solid waste from alumina production, poses severe environmental risks due to its high alkalinity, low organic matter content, and poor aggregation, which critically impede its soil reconstruction and ecological utilization. This study proposes a novel approach of low-temperature micro-oxidation to drive the synergistic soil reconstruction of red mud and coal. By constructing a low-temperature micro-oxidation atmosphere, the soil properties of the reaction products were investigated, the decomposition and reconstruction of alkaline minerals and alkali release were analyzed, and the oxidation of carbon-based minerals and organic matter transformation in coal were examined. The mechanism of the synergistic reaction between red mud and coal under low-temperature micro-oxidation was elucidated. Results showed that at 250 °C under micro-oxidation, the pH of the product decreased to 8.47, organic matter content increased to 12.98%, and the proportion of aggregates >0.250 mm increased. Alkaline minerals such as cancrinite and grossular in red mud underwent decomposition and reconstruction in the low-temperature hydrothermal environment, releasing substantial free alkali. The condensed aromatic rings of carbon-based minerals in coal were oxidized by free radicals, leading to ring-opening and bond cleavage, producing small-molecule organic acids and macromolecular humic acids. The continuous oxidation of carbon-based minerals in coal generated acids, which neutralized the alkali released from red mud, driving sustained dealkalization. The inorganic particles of red mud flocculated with macromolecular humic acids, forming micro-aggregates and significantly improving soil properties. This research provides technical support for the rapid ecological utilization of red mud at industrial scale.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202607006

Global Warming Potential Analysis of Air Pollution Control Processes in Municipal Solid Waste Incineration under Ultra-Low Emission Standards

This study evaluates the global warming potential (GWP) of three typical air pollution control device (APCD) configurations in municipal solid waste (MSW) incineration under ultra-low emission standards. The configurations are APCD1 (SNCR+SDS+DS+ACI+FF), APCD2 (SNCR+SDS+DS+ACI+FF+SCR+WS), and APCD3 (SNCR+SDS+DS+ACI+FF+WS+SCR). Life cycle assessment (LCA) was applied to quantify GWP. Results indicate that APCD3 exhibits the highest GWP due to increased electricity consumption, yet it achieves the lowest pollutant emissions among the three. APCD1 shows the highest NOx emissions, contributing significantly to GWP, and requires technological upgrades. APCD2 consumes more resources but does not proportionally reduce emissions, suggesting inefficiencies. Electricity consumption is the dominant factor influencing GWP across all processes; reducing electricity use and improving energy efficiency are critical for mitigating environmental impact. The study recommends further research on CO2 reduction strategies and adoption of more efficient DeNOx technologies to align MSW incineration with ultra-low emission and low-carbon goals.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3989-4

Broad-Temperature-Range Thermoresponse of Cu(I)-Based Organic-Inorganic Hybrid Metal Halides with Multimode Dynamic Luminescence

Organic-inorganic hybrid metal halides (OIMHs) based on Cu(I) ions exhibit broad application prospects in stimulus-responsive luminescent materials due to their rich structural diversity and highly adjustable electronic states. However, achieving sensitive and broad-temperature-range thermal responses remains a significant challenge. Here, we synthesize a zero-dimensional warm white-light emitting OIMH, MPC-W ((C9H20N2O)4(Cu2I4)(Cu2I6)(H2PO2)2), using 4-morpholinopiperidine (4-MP) and CuI. MPC-W features hybrid structures of [Cu2I4]2− and [Cu2I6]4−. The coexistence of three luminescent mechanisms—organic cluster luminescence (CL), self-trapped exciton (STE) emission of [Cu2I6]4−, and cluster-centered (CC) state luminescence of [Cu2I4]2−—endows MPC-W with temperature- and excitation-wavelength-dependent dynamic luminescence. From 77 to 297 K, the luminescence color continuously tunes from blue to cyan, green, yellow-green, and white. In the range of 217–463 K, MPC-W exhibits abnormal luminescence enhancement with increasing temperature. Upon chemical stimuli, MPC-W reversibly transforms into blue-emitting MPC-B ((C9H20N2O)Cu2I4) and yellow-emitting MPC-Y ((C9H18N2O)7Cu8I8). These dynamic luminescent properties position MPC-W for applications in temperature sensing, optical anti-counterfeiting, and password locks. This work provides new insights for developing wide-temperature-responsive multifunctional intelligent luminescent materials.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3535-8

Efficient Orbit-Torque Driven Spiking Neuromorphic Device Mimicking the Selective Attention Mechanism for Self-Adaptive Recognition

The brain's selective visual attention mechanism (SVAM) enables robust visual recognition in noisy environments through diverse neural action potential peaks acting as filters. Spiking neural networks (SNNs) mimic this paradigm but limited noise immunity and high write current density hinder brain-like efficiency. Hardware implementing SVAM necessitates spiking spintronic devices with noise-resistant and low operation current densities; such devices remain unreported. Here, we report an orbit-torque (OT) actuated ferromagnetic spiking synapse and neuron featuring a tunable peak action potential. These are more akin to biological neurons with varying sensitivities to external sensory stimuli, thereby augmenting the perception aptitude of the system in complex surroundings. Capitalizing on the high-efficiency OT, the ferromagnetic device demands a write current density of 5 × 10^6 A/cm^2, which is an order of magnitude lower than other spiking devices actuated by spin-orbit torque. Leveraging these neuromorphic devices, an all-spin SNN with low current density and tunable action potential peak has been fabricated, successfully mimicking the SVAM. In complex noise environment, the SNN achieves 92% on Cifar-10 and 95% on MNIST dataset, surpassing state-of-the-art spin-based SNNs by 5%. Our work provides a promising avenue for exploring the SVAM-inspired spiking neuromorphic devices, enhancing the bionic performance of the SNNs.