Prof. Ziqi Wang | Publications & Academic Profile | SinoGreenTech

Research Publications & English Decoded Briefs

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SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4404-7

Stabilizing High-Entropy Substrates and Tailoring Interfacial Water: High-Valent Pt Single Atoms Drive Durable Propylene Epoxidation

Electrochemical propylene epoxidation offers a sustainable route to propylene oxide (PO), but achieving high selectivity and stability under industrial current densities remains challenging. Herein, we report a high entropy amorphous CoFeNiCrMnBOx borate loaded with high valence Pt single atoms catalyst (a-Pt-HEBO) for stable bromine radical-mediated propylene epoxidation reaction (BrPOR). The high-entropy amorphous structure reshapes the interfacial hydrogen-bonding network and enriches free water, substantially lowering the energy barrier for water dissociation. Meanwhile, the strong electronic interactions between the coordinatively unsaturated, high-valence single Pt atoms and the substrate effectively prevent transition metal dissolution at high anodic potentials. The catalyst achieved 82.1% Faraday efficiency of PO at an industrial grade current density of 100 mA cm-2, and demonstrated excellent industrial application stability in up to 500 h of continuous test and within a scaled-up electrolyzer (4 × 4 cm2). This work provides a design for high-entropy catalysts in halogen-mediated electrosynthesis and a viable pathway toward carbon-neutral PO production.

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SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4159-y

Differentiated adsorption of intermediates on high-entropy intermetallic metallene promotes selective electrocatalytic upgrading of PET plastics to glycolic acid

The electrocatalytic oxidation of ethylene glycol (EG) derived from polyethylene terephthalate (PET) waste to valuable glycolic acid (GA) represents an attractive route for waste resource upcycling. However, achieving high selectivity remains challenging due to the difficulty in steering the complex reaction pathway. In this study, PdPtCuInBi high-entropy intermetallic metallene (HEI-PdPtCuInBiene) is reported to precisely control EG oxidation reaction (EGOR) pathway for GA production by constructing multiple active sites at the atomic scale. In PET hydrolysate, it achieves a Faradaic efficiency of 99.87% and a production rate of 1.47 mmol h−1 cm−2, along with excellent stability. Mechanistic studies reveal that the high-entropy structure induces strong p-d orbital hybridization, which optimizes the electronic structure of active sites, thus weakening the adsorption of key carbonyl intermediates and suppressing C–C bond cleavage. The synergistic electronic effect among Pd, Pt, and Cu further enables differential adsorption of distinct intermediates on diverse active sites, enhancing the selective formation of GA. Techno-economic analysis exhibits high profitability (~$784.9 t−1 PET) of this route, demonstrating the great potential of high-entropy intermetallic metallene in regulating electrocatalytic upcycling of PET waste and beyond.

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SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3847-5

In-sensor computing breakthrough enables efficient tactile information acquisition

The convergence of artificial intelligence, Internet of Things, and soft electronics has advanced tactile perception in flexible electronic skins, enabling applications in robotics, healthcare, and human-machine interfaces. However, conventional tactile sensing architectures separate sensing and processing, requiring analog-to-digital converters and data transfer to microcontrollers, which is energy-intensive and introduces latency. In-sensor computing integrates sensing and processing, reducing power consumption and enabling in-situ analog operations such as multiplication-accumulation (MAC) for artificial neural networks. Wang et al. developed a capacitive in-sensor tactile computing system combining a flexible pressure sensor array with electrical switching networks and a fixed capacitor to perform MAC operations in the charge domain. The sensor unit uses an ionic dielectric layer of PVA/H3PO4 prepared via sandpaper-templated molding, sandwiched between Au electrodes on waterborne polyurethane substrates, achieving high sensitivity of 0.36 nF/kPa and excellent stability. A 3×3 kernel of sensors with programmable bias voltages implements averaging and Laplacian filters for noise reduction and edge detection, validated experimentally. The system processes binary and analog tactile stimuli, with output voltage scaling proportionally with pressure. This in-sensor computing approach addresses energy and latency bottlenecks, offering a pathway for real-time, power-constrained e-skin applications in autonomous robotics, prosthetics, and intelligent interfaces.

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