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QS
Verified CAS / Academic Author3 Decoded Studies

Prof. QIU Shan

University of Science and Technology of China

Co-Affiliations:SinoGreenTech Intelligence Archive (affiliated with Chinese Academy of Sciences research institutes)

Research Publications & English Decoded Briefs

Showing 3 publications
New Carbon Materials2026DOI: 10.1016/S1872-5805(26)61101-8

Single-atom iron catalysts on defect-rich nitrogen-doped carbon nanosheets for efficient phenol degradation via peroxydisulfate activation

Phenolic compounds are typical refractory organic pollutants in coal chemical coking wastewater, posing significant risks to ecosystems and human health. Conventional treatment methods are inefficient, necessitating advanced oxidation processes (AOPs). Here, we report a low-cost Fe/N–C catalyst synthesized from coal-tar pitch, a common by-product of the coal chemical industry, via a self-assembly and pyrolysis strategy using graphitic carbon nitride (g-C3N4) as a template and nitrogen source, with dicyandiamide as an auxiliary nitrogen source and FeCl3·6H2O as the iron precursor. The resulting nitrogen-doped carbon nanosheets possess abundant defects (sp3-C/sp2-C = 0.66) and atomically dispersed iron species. The Fe/N–C catalyst exhibits outstanding catalytic activity for peroxydisulfate (PDS) activation, achieving over 98% phenol degradation within 30 minutes and a 60% total organic carbon (TOC) removal rate. Mechanistic studies, including radical quenching and electron paramagnetic resonance (EPR) experiments, reveal that both radical and non-radical pathways contribute to phenol degradation, with singlet oxygen (1O2) as the primary reactive oxygen species. Electrochemical analyses demonstrate that atomically dispersed Fe sites significantly enhance interfacial electron transfer. Post-reaction characterization indicates the consumption of pyrrolic-N, C=O, and carbon defects as active sites, while graphitic-N and Fe–N structures remain stable, confirming the catalyst's stability. This work provides an economical route to convert coal-tar pitch into high-performance catalytic materials for efficient water treatment, embodying the circular economy concept of waste-to-resource utilization.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4004-3

Boosting oxygen evolution through asymmetric CoIII–O–MoV motif-modulated spinel active sites

The development of efficient and stable oxygen evolution reaction (OER) electrocatalysts is critical for clean energy technologies, yet conventional cobalt-based spinel catalysts often suffer from insufficient activity and structural instability under operating conditions. To address these challenges, this study proposes and constructs a cation-ordered spinel-like catalyst (HVI Metal-CoMoO4/NF). The unique crystalline framework induces significant Jahn-Teller distortion and pre-stabilizes a Co2+/Co3+ mixed-valence state at the cobalt active centers via asymmetric Co–O–Mo bridges, effectively optimizing bulk charge transport. Electrochemical tests demonstrate that its performance significantly surpasses that of benchmark materials, requiring only an overpotential of 307 mV to drive a current density of 100 mA cm−2 in 1.0 M KOH, with a Tafel slope of 63.13 mV dec−1, maintaining stable operation for over 320 h at high current density. Crucially, our structural and in situ characterization results clearly reveal a stable and well-crystallized reconstruction behavior from the surface into the bulk of the spinel-like pre-catalyst during the OER. This work fundamentally addresses the challenges of disordered reconstruction and unstable active phases in traditional spinel catalysts, providing a paradigm for regulating the dynamic evolution of electrocatalysts through precise structural design.

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.