SinoGreenTech Academic Portal
CW
Verified CAS / Academic Author7 Decoded Studies

Prof. Cong Wang

Institute of Advanced Synthesis, School of Chemistry and Molecular Engineering, Nanjing Tech University

Co-Affiliations:Not specified in the provided text

Research Publications & English Decoded Briefs

Showing 7 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3582-9

Dual-functional light adaptation in perovskite quantum dot synaptic devices for smart blue-light protection

Perovskite quantum dots (PQDs) hold great potential for brain-like neuromorphic computing. However, the development of PQDs-based synaptic devices is hindered by interfacial defects and limited stability. Here, we demonstrate a high-performance Cs2AgBiBr6 QDs/organic single crystal heterojunction synaptic device, fabricated via a novel space-confined vertical growth technique combined with a polymer-free transfer process. Vertically grown organic single crystals enable superior carrier mobility and facilitate the formation of low-defect interfaces with PQDs. The heterojunction exhibits remarkable photosensitivity (7.22 × 10^5 at 425 nm) and detectivity (2.15 × 10^15 Jones), owing to the strong optical absorption of PQDs coupled with the superior charge transport characteristics of organic single crystals. Notably, the device achieves dual-functional light adaptation, emulating synaptic behaviour under blue light while exhibiting photo-switching under green/red light. This unique capability enables smart blue-light hazard protection. This work not only provides a versatile platform for high-performance PQDs-based synaptic devices but also advances the development of brain-inspired neuromorphic systems for next-generation computing and intelligent sensing.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2024112102

Emission Inventory and Scenario Prediction of Non-Road Mobile Sources in Hebei Province

Based on the 2022 activity data of non-road mobile sources in Hebei Province, this study employed the emission factor method recommended by the Guidelines to estimate emissions of CO, HC, NOx, PM2.5, PM10, and SO2. A comprehensive emission inventory was established, followed by spatial and uncertainty analyses. Scenario analysis, aligned with the 14th Five-Year Plan policies, was used to project emissions for 2030. The results indicate that non-road mobile sources in Hebei emitted 76.1×10^3 t of CO, 20.6×10^3 t of HC, 164.0×10^3 t of NOx, 8.5×10^3 t of PM2.5, 9.0×10^3 t of PM10, and 2.4×10^3 t of SO2. Agricultural machinery was the dominant contributor to CO, HC, PM2.5, and PM10, accounting for over 60.0% of CO emissions. Railway locomotives were the primary source of NOx, contributing 50.9%. For SO2, agricultural machinery and railway locomotives contributed 39.0% and 44.4%, respectively. The highest emitting cities were Tangshan (21.3%), Shijiazhuang (15.7%), Cangzhou (11.6%), and Handan (11.6%). Ship emissions were concentrated in Tangshan Port; civil aviation emissions were mainly in Shijiazhuang, Tangshan, Qinhuangdao, and Handan; railway emissions were distributed in Shijiazhuang, Baoding, and Handan. Under the updated emission standard scenario, NOx and PM10 emissions in 2030 could be reduced by approximately 35.0%. The phase-out of old machinery yielded the largest reduction in CO (36.0%), while both electrification and phase-out scenarios significantly impacted HC emissions.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202604026

MIL-88A(Fe) Adsorption-Photocatalytic Synergistic Degradation of Phenanthrene-Pyrene Composite Pollutants in Soil

Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants ubiquitously present in soils, posing severe risks to ecosystems and human health. This study synthesized MIL-88A(Fe) via a hydrothermal solvent method and applied it to the photocatalytic degradation of phenanthrene-pyrene (PHE-PYR) composite contaminants in soil, investigating the adsorption-photocatalytic synergy. Results demonstrated that adsorption of PHE-PYR onto MIL-88A(Fe) was dominated by physical and monolayer surface adsorption, with a maximum adsorption capacity of 97.25 mg/kg. This strong adsorption increased pollutant concentration near active sites, accelerating photocatalytic degradation. Under optimal conditions—3% catalyst dosage, 40% soil water content, 60 min visible light irradiation, initial pollutant concentration of 200 mg/kg, and acidic soil—the total degradation efficiency reached 79.20%. Photoelectrochemical characterization revealed significant visible-light response (200–600 nm), a narrow bandgap of 3.04 eV, and favorable band structure facilitating efficient electron-hole separation. Quenching experiments identified superoxide radicals (·O2−) and holes (h+) as primary reactive species. GC-MS analysis of intermediates indicated that PYR undergoes hydroxylation, oxidation, and ring-opening to form PHE, which is further hydroxylated and oxidized, ultimately mineralizing to CO2 and H2O. This work provides an efficient strategy for remediating PAH-contaminated soils.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3449-5

Rational Engineering of Ionic Liquid Electrolytes: A Paradigm Shift Toward Advanced Lithium Batteries

The escalating demand for high-performance lithium-ion batteries (LIBs) in portable electronics and electric vehicles has driven extensive research into advanced electrolytes. Ionic liquids (ILs) and their derived electrolytes, including poly(ionic liquids), ionogels, and IL-functionalized systems, offer significant potential for enhancing the safety and electrochemical performance of LIBs due to their unique properties such as non-volatility, wide electrochemical windows, and excellent thermal stability. These properties enable safer, high-energy, and long-lasting batteries. This review conducts a thorough analysis of the physicochemical properties of ILs and their versatile applications in electrolytes, particularly emphasizing their adaptability to fulfill the specific needs of different battery systems. In liquid electrolyte systems, ILs can function as solvents, interfacial modifiers, and critical components for constructing artificial solid electrolyte interphase (SEI). In (quasi-)solid-state electrolyte systems, ILs can be polymerized to form poly(ionic liquid)s or integrated with organic, inorganic, or composite materials to develop IL-based electrolytes, demonstrating multifunctional electrochemical performance. Finally, the review critically examines the challenges and opportunities in this field, offering insightful perspectives for future advancements.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3717-6

Asymmetric interchain interaction enables stable all-solid-state PEO-based Li batteries

Poly(ethylene oxide) (PEO)-based all-solid-state polymer electrolytes (SPEs) hold significant promise for high-specific-energy and high-safety Li batteries, yet suffer from poor mechanical robustness and low Li+-conducting efficiency. Aramid nanofibers (ANFs), with exceptional mechanical strength and abundant intramolecular/intermolecular interactions, are effective additives, but their strictly symmetric interchain interactions generate a highly ordered hydrogen-bond network, producing inert aggregates that compromise electrolyte stability. Here, we construct a poly(ethylene glycol) (PEG)-mediated asymmetric interaction between ANF chains. PEG chains introduce weaker H-bonding acceptor sites, higher steric hindrance, and abundant lithiophilic groups, simultaneously disrupting strong symmetric ANF-ANF interactions and creating rapid Li-ion channels. The resulting electrolyte maintains excellent mechanical properties (yield stress of 3.25 MPa) and enables stable cycling of Li||Li symmetric cells for over 1600 h with low polarization voltage. In LCO||Li cells, the electrolyte achieves a capacity retention of 82.7% after 300 cycles at 1 C, markedly higher than the unmodified counterpart (35.5%). This synergistic optimization of interfacial compatibility and mechanical performance demonstrates a practical route toward safe, high-energy-density all-solid-state polymer batteries.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60672-X

Mechanism of Ce/La/Zr doping on the structure and anti-coking performance of Ni/MgO-MgAl2O4 catalyst

Dry reforming of methane (DRM) converts CH4 and CO2 into syngas, offering a route to mitigate greenhouse gases. Ni-based catalysts suffer from sintering and carbon deposition at high temperatures. This work employs MgO-MgAl2O4 composite supports to regulate Ni loading and introduces Ce, La, and Zr as promoters to investigate their effects on DRM activity, structural stability, and surface oxygen species. Optimal Ni loading of 12.5% yields highest CH4 and CO2 conversions. Promoter introduction slightly suppresses low-temperature activity but substantially modifies support local structure and metal-support interface, improving NiO dispersion and increasing surface oxygen vacancies and active oxygen species (Oβ). These changes enhance CO2 adsorption-activation and suppress carbon deposition. After 20 h DRM, Ce-promoted catalyst shows smallest Ni particle growth (6.23→8.07 nm) and lowest carbon deposition, demonstrating superior stability and anti-coking capability. The study elucidates how Ce, La, and Zr enhance sintering and coking resistance via interfacial electronic modulation and improved oxygen storage/release, guiding rational design of stable Ni-based DRM catalysts.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4019-1

Biomimetic Visual Perception System Based on InAlZnO Optoelectronic Neuromorphic Array for Static Image Processing and Dynamic Trajectory Perception

Vision is a vital means for humans to perceive the environment, with 80% of information from visual perception. Developing visual systems approaching or surpassing human-level vision plays an indispensable role in advancing autonomous driving, intelligent security, and other fields. Optoelectronic neuromorphic devices, integrating sensing and memory, are promising for emulating human vision. This study constructs a biomimetic visual system based on a 16 × 16 InAlZnO optoelectronic neuromorphic array with oxygen vacancy gradients. Under multi-factor modulation (oxygen vacancy concentration differences, Ag ions, heterojunction interfaces), the device achieves electrical/optical conductance tunability. Integrated with external circuits and a field-programmable gate array, the system successfully emulates human vision capabilities: image memory, denoising, attention mechanism, and motion state perception (direction, speed, color). Image digit recognition based on visual attention reaches 97.15% accuracy, and motion state recognition reaches 100%. This system will promote bionic vision development and application, paving the way for high-performance neuromorphic vision systems surpassing the human eye.