Cuifeng Du

Cuifeng Du


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 October 2021 in Micromachines
Verified
Journal Article
Open access
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YWYuan Wang
Yuan Wang
LZLaipan Zhu
Laipan Zhu
CDCuifeng Du
Cuifeng Du
In recent years, great progress has been made in the field of energy harvesting to satisfy increasing needs for portable, sustainable, and renewable energy. Among piezoelectric materials, poly(vinylidene fluoride) (PVDF) and its copolymers are the most promising materials for piezoelectric nanogenerators (PENGs) due to their unique electroactivity, high flexibility, good machinability, and long–term stability. So far, PVDF–based PENGs have made remarkable progress. In this paper, the effects of the existence of various nanofillers, including organic–inorganic lead halide perovskites, inorganic lead halide perovskites, perovskite–type oxides, semiconductor piezoelectric materials, two–dimensional layered materials, and ions, in PVDF and its copolymer structure on their piezoelectric response and energy–harvesting properties are reviewed. This review will enable researchers to understand the piezoelectric mechanisms of the PVDF–based composite–film PENGs, so as to effectively convert environmental mechanical stimulus into electrical energy, and finally realize self–powered sensors or high–performance power sources for electronic devices.

3 June 2025 in Nature Communications
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Journal Article
Open access
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LLLindong Liu
Lindong Liu
YSYurui Shang
Yurui Shang
ABAndy Berbille
Andy Berbille
MWMorten Willatzen
Morten Willatzen
YWYuan Wang
Yuan Wang
LZLaipan Zhu
Laipan Zhu
Gold’s crucial role in economic and technological developments has driven the industry towards underground mining, with air quality concerns challenging workers’ safety. Currently, commercial solutions to assess air quality and safety in underground mines often suffer from low accuracy, high installation and maintenance costs, without providing data on noxious gases. To address these limitations, we developed a triboelectric self-powered sensing-platform (TESS) employing two distinct triboelectric nanogenerators (TENGs) modules to achieve power generation and wind-speed sensing function, with an ultra-low starting wind speed (0.32 m s−1), capable of operating for up to 3 months in underground mining tunnels. Wind-sensing capabilities are accrued by a horizontal turbine based on non-contact TENGs. Meanwhile, the TESS is powered by a distinct array of TENGs that operates via a new working mode, balancing the advantages of contact-separation and free-standing modes. Assisted by an optimized self-driven power management system, the TESS attains a charging power density of 16.36 mW m−2; this power is delivered every 166 s to a sensor node (temperature, relative humidity, pressure, and concentrations of CO, NO2, NH3), a data processing unit, and a LoRa transmitter. This work represents a leap forward in developing robust, cost-effective, battery-free, and wireless TENG-based environmental sensing platforms.

31 March 2023 in Science of The Total Environment
Verified
Journal Article
Closed access
JWJiuzhu Wang
Jiuzhu Wang
CDCuifeng Du
Cuifeng Du
ZCZheng Chen
Zheng Chen
YWYuan Wang
Yuan Wang

29 January 2020 in Advanced Materials Interfaces
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Journal Article
Closed access
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YWYuan Wang
Yuan Wang
LZLaipan Zhu
Laipan Zhu
CDCuifeng Du
Cuifeng Du

22 December 2020 in ACS Omega
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Journal Article
Open access
YWYuan Wang
Yuan Wang
CDCuifeng Du
Cuifeng Du
HXHaiyue Xu
Haiyue Xu
Blasting dust is the main source of atmospheric pollution in deep, sunken open-pit mines (DSOMs), which affects seriously the normal work and production in the mines. Here, the influencing factors and a diffusion model with regard to blasting dust diffusion were investigated and proposed in a representative mine. Dimensional analysis and multiple nonlinear regression analysis were applied to establish a mathematical model of the blasting dust diffusion. A high multiple correlation coefficient of 91.4% was obtained, indicating a highly reliable model. This study provides a theoretical basis for rationally arranging production and avoiding air pollution in the DSOMs.

8 November 2021 in Applied Sciences
Verified
Journal Article
Open access
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YWYuan Wang
Yuan Wang
CDCuifeng Du
Cuifeng Du
MCMengmeng Cui
Mengmeng Cui
In order to solve the problem of road dust pollution, an ecological dust suppressant for road surfaces has been developed using monomer, orthogonal, and optimization experiments and based on the dust raising mechanism. A humectant, hygroscopic agent, coagulant and surfactant and their concentration ranges have been determined through monomer experiment. The preliminary formula of the dust suppressant has been obtained through orthogonal experiment, with the water loss rate, moisture content rate, viscosity value, and surface tension value serving as experimental indexes. The optimal formula for the dust suppressor has been calculated through an optimization experiment, with the toxicity, moisture absorption and retention performance of plants, and the relative damage rate of plant seeds serving as experimental indexes. Based on the performance characterization of ecological road dust suppressant, the ecologically and environmentally friendly dust suppressant demonstrates fine moisture absorption and retention performance, good wind and rain erosion resistance, and no toxicity. The ecological road dust suppressant developed herein covers extensive raw material sources. It is ecologically and environmentally friendly, fit for most urban roads, and has a fine dust suppression effect. Meanwhile, it also can bring in good economic and social benefits, demonstrating its broad application prospects.