Dengfeng Peng

Dr. Dengfeng Peng

College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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4 March 2020 in Advanced Materials
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Journal Article
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Dengfeng PengDengfeng Peng
Dengfeng Peng
YJYue Jiang
Yue Jiang
BHBolong Huang
Bolong Huang
YDYangyang Du
Yangyang Du
JZJianxiong Zhao
Jianxiong Zhao
FWFeng Wang
Feng Wang

27 December 2018 in Advanced Materials
Verified
Journal Article
Closed access
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YDYangyang Du
Yangyang Du
YJYue Jiang
Yue Jiang
TSTianying Sun
Tianying Sun
JZJianxiong Zhao
Jianxiong Zhao
BHBolong Huang
Bolong Huang
FWFeng Wang
Feng Wang

9 August 2023 in Advanced Materials
Verified
Journal Article
Open access
TZTeng Zheng
Teng Zheng
Marcin RunowskiMarcin Runowski
Marcin Runowski
IMInocencio R. Martin
Inocencio R. Martin
KCKevin Soler Carracedo
Kevin Soler Carracedo
LPLiang Peng
Liang Peng
Dengfeng PengDengfeng Peng
Dengfeng Peng
Endowing a single material with various types of luminescence, that is, exhibiting a simultaneous optical response to different stimuli, is vital in various fields. A photoluminescence (PL)‐ and mechanoluminescence (ML)‐based multifunctional sensing platform is built by combining heterojunctioned ZnS/CaZnOS:Mn2+ mechano‐photonic materials using a 3D‐printing technique and fiber spinning. ML‐active particles are embedded in micrometer‐sized cellulose fibers for flexible optical devices capable of emitting light driven by mechanical force. Individually modified 3D‐printed hard units that exhibit intense ML in response to mechanical deformation, such as impact and friction, are also fabricated. Importantly, they also allow low‐pressure sensing up to ≈100 bar, a range previously inaccessible by any other optical sensing technique. Moreover, the developed optical manometer based on the PL of the materials demonstrates a superior high‐pressure sensitivity of ≈6.20 nm GPa−1. Using this sensing platform, four modes of temperature detection can be achieved: excitation‐band spectral shifts, emission‐band spectral shifts, bandwidth broadening, and lifetime shortening. This work supports the possibility of mass production of ML‐active mechanical and optoelectronic parts integrated with scientific and industrial tools and apparatus.

13 November 2022 in Advanced Science
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Journal Article
Open access
ZHZefeng Huang
Zefeng Huang
BCBing Chen
Bing Chen
BRBiyun Ren
Biyun Ren
DTDong Tu
Dong Tu
ZWZhaofeng Wang
Zhaofeng Wang
Dengfeng PengDengfeng Peng
Dengfeng Peng
Mechanoluminescence, a smart luminescence phenomenon in which light energy is directly produced by a mechanical force, has recently received significant attention because of its important applications in fields such as visible strain sensing and structural health monitoring. Up to present, hundreds of inorganic and organic mechanoluminescent smart materials have been discovered and studied. Among them, strontium‐aluminate‐based materials are an important class of inorganic mechanoluminescent materials for fundamental research and practical applications attributed to their extremely low force/pressure threshold of mechanoluminescence, efficient photoluminescence, persistent afterglow, and a relatively low synthesis cost. This paper presents a systematic and comprehensive review of strontium‐aluminate‐based luminescent materials’ mechanoluminescence phenomena, mechanisms, material synthesis techniques, and related applications. Besides of summarizing the early and the latest research on this material system, an outlook is provided on its environmental, energy issue and future applications in smart wearable devices, advanced energy‐saving lighting and displays.

22 August 2019 in Advanced Intelligent Systems
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Chunfeng WangChunfeng Wang
Chunfeng Wang
LDLin Dong
Lin Dong
Dengfeng PengDengfeng Peng
Dengfeng Peng
CPCaofeng Pan
Caofeng Pan
With the capability of completing a task or achieving a goal in an uncertain environment while simultaneously having the characteristics of adaptability, self‐optimization, self‐diagnostics, and self‐maintenance, intelligent systems have witnessed extraordinary progress in recent years. These advances involve robotics, artificial intelligence and machine learning, automation, human–machine interfaces, the Internet of Things, control theory and control systems, smart and responsive materials, intelligent sensing systems, and programmed self‐assembly. As an active technology conveying mechanical stimuli to a wide range of electrical and optical signals, tactile sensors are essential elements of intelligent systems and have accelerated the emergence of advanced intelligent systems by enabling the accurate recognition and safe interaction of humans and machines, smart sensing of control systems, precise control of robotics, and synergetic work of artificial intelligent systems. Herein, the recent advances of tactile sensors for advanced intelligent systems are reviewed, emphasizing these with the working principles of piezoresistance, resistance, capacitance, piezoelectricity, triboelectricity, and optics. Representative examples of their applications in advanced intelligent systems, such as robotics, human–machine interfaces, and artificial intelligence, are explored. The remaining challenges and perspectives in this emerging field are also discussed.

26 March 2024 in Nature Communications
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Journal Article
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XPXin Pan
Xin Pan
YZYixi Zhuang
Yixi Zhuang
WHWei He
Wei He
CLCunjian Lin
Cunjian Lin
LMLefu Mei
Lefu Mei
RXRong-Jun Xie
Rong-Jun Xie
Mechanoluminescence (ML) sensing technologies open up new opportunities for intelligent sensors, self-powered displays and wearable devices. However, the emission efficiency of ML materials reported so far still fails to meet the growing application requirements due to the insufficiently understood mechano-to-photon conversion mechanism. Herein, we propose to quantify the ability of different phases to gain or lose electrons under friction (defined as triboelectric series), and reveal that the inorganic-organic interfacial triboelectricity is a key factor in determining the ML in inorganic-organic composites. A positive correlation between the difference in triboelectric series and the ML intensity is established in a series of composites, and a 20-fold increase in ML intensity is finally obtained by selecting an appropriate inorganic-organic combination. The interfacial triboelectricity-regulated ML is further demonstrated in multi-interface systems that include an inorganic phosphor-organic matrix and organic matrix-force applicator interfaces, and again confirmed by self-oxidization and reduction of emission centers under continuous mechanical stimulus. This work not only gives direct experimental evidences for the underlying mechanism of ML, but also provides guidelines for rationally designing high-efficiency ML materials.