Zhong Lin Wang

Zhong Lin Wang

Georgia Institute of Technology

H-index: 306

North America-United States

Professor Information

University

Georgia Institute of Technology

Position

; Beijing Institute of Nanoenergy and Nanosystems

Citations(all)

417234

Citations(since 2020)

215984

Cited By

282097

hIndex(all)

306

hIndex(since 2020)

220

i10Index(all)

2308

i10Index(since 2020)

1987

Email

University Profile Page

Georgia Institute of Technology

Research & Interests List

nanogenerator

self-powered sensors/systems

blue energy

piezotronics

piezo-phototronics

Top articles of Zhong Lin Wang

Maximizing Triboelectric Nanogenerators by Physics‐Informed AI Inverse Design

Triboelectric nanogenerators offer an environmentally friendly approach to harvesting energy from mechanical excitations. This capability has made them widely sought‐after as an efficient, renewable, and sustainable energy source, with the potential to decrease reliance on traditional fossil fuels. However, developing triboelectric nanogenerators with specific output remains a challenge mainly due to the uncertainties associated with their complex designs for real‐life applications. Artificial intelligence‐enabled inverse design is a powerful tool to realize performance‐oriented triboelectric nanogenerators. This is an emerging scientific direction that can address the concerns about the design and optimization of triboelectric nanogenerators leading to a next generation nanogenerator systems. This perspective paper aims at reviewing the principal analysis of triboelectricity, summarizing the current challenges of …

Authors

Pengcheng Jiao,Zhong Lin Wang,Amir H Alavi

Journal

Advanced Materials

Published Date

2023/12/7

Recent advances in metal-organic framework-based self-powered sensors: A promising energy harvesting technology

The growing popularity of the Internet of Things has led to increases in the need for renewable energy and sensor systems. Therefore, triboelectric nanogenerators (TENGs) have garnered significant attention as a novel form of energy production due to their lightweight nature, cost-effectiveness, high output, and versatility in terms of materials, low cost, and device configurations. TENGs have been studied for several uses, including self-powered sensing, biomedical, biomotion, healthcare monitoring, and robotic applications. The performance of TENG is drastically pretentious by the material because charge density (σ) is an inherent characteristic of the material. Metal-organic framework (MOF) materials possess robust charge-trapping capabilities, multifunctional structures, adjustable properties, and exceptional stability. These materials can be utilized or integrated as self-powered sensors of different kinds to …

Authors

SM Sohel Rana,Omar Faruk,M Robiul Islam,Tamanna Yasmin,K Zaman,Zhong Lin Wang

Published Date

2024/5/15

Evaporation Triboelectric‐Nanogenerator: Harvesting Low‐Grade Heat Energy from Ambient Environment

Although natural evaporation absorbs substantial thermal energy from the ambient environment, efficiently utilizing this high‐entropy energy remains challenging. Here, the first water evaporation‐induced triboelectric nanogenerator is proposed. It only uses tap water to harvest low‐grade heat energy from the surroundings to convert it into electricity. The natural evaporation of the liquid can generate unintermittent electricity with an open‐circuit voltage of 382 V, a peak power of 0.42 mW, and three orders of magnitude enhancement up to 59.7 mJ mL−1 after consuming the same amount of tap water compared with the droplet‐based electricity generators. After which, the excellent power output lights 2 W LED and drives wearable electronic devices. This device also inhibits carbon steel materials' corrosion in solutions through the evaporation effect of the salt water on the spot. The present study provides novel …

Authors

Hang Qu,Lingyu Wan,Zhiqun Tian,Guanlin Liu,Zhong Lin Wang

Journal

Advanced Materials Technologies

Published Date

2024/2

A multi-dimensional tactile perception system based on triboelectric sensors: towards intelligent sorting without seeing

Tactile perception systems as the medium between the ambient environment and robotics lie in the heart of modern artificial intelligence. By providing different electronic readouts under various circumstances, they can give easily captured information for post-processing. However, for applications of most reported tactile perception systems, external location assistances are still needed. Here, as inspired by the platypus’ sixth sense, we developed a new kind of tactile perception system based on triboelectric sensors with the additional function from quantum rods. This terminal can be used as a single-electrode mode triboelectric nanogenerator for both location detection and vertical force sensing with high sensitivity and fast response. Moreover, by adding CdSe/CdS quantum rods into an imprinted polydimethylsiloxane film, different lateral stretching levels can be perceived by a modified luminescence. Supported …

Authors

Tianxiao Xiao,Zhenshan Bing,Yansong Wu,Wei Chen,Ziming Zhou,Fan Fang,Suzhe Liang,Renjun Guo,Suo Tu,Guangjiu Pan,Tianfu Guan,Kai Wang,Xiao Wei Sun,Kai Huang,Alois Knoll,Zhong Lin Wang,Peter Müller-Buschbaum

Journal

Nano Energy

Published Date

2024/2/16

Field effect nanogenerator operated by sliding gates

Controlling the motion of charge carriers in semiconductor materials is a fundamental strategy for achieving many functional devices, which is typically achieved by applying an external voltage source. Herein, using the electrostatic potential generated by a triboelectric material taken as a sliding “gate”, a functional current is generated across a semiconductor channel when the gate is moving in parallel to the dielectric surface. Systematic studies verify that the motion of the electrified “gate” induces the regional and dynamical doping of the semiconductor channel, thereby driving the carrier transport without applying an external voltage. This sliding-gated generator achieves mechanoelectric energy conversion based on the coupled triboelectrification effect and electrostatic field effect and is therefore termed as a field effect nanogenerator (FENG). It can output electrical currents with a waveform that follows well with …

Authors

Chongxiang Pan,Leo NY Cao,Jia Meng,Luyao Jia,Weiguo Hu,Zhong Lin Wang,Xiong Pu

Journal

Energy & Environmental Science

Published Date

2024

Self‐Generated Displacement Current of Triboelectric Nanogenerator for Cancer Therapy: Theory and Application (Adv. Mater. Technol. 2/2024)

Wearable and implantable triboelectric nanogenerators (TENGs) convert mechanical energy to electricity in the daily movements of the human body. Self‐generated dynamic electric field or displacement current of TENGs can operate from micrometers to centimeters, which offers a key technology for TENG‐based therapy systems for precision medicine on both tissues and cells. TENGs have low‐current and high‐voltage properties, which reduce damage to normal tissues, and kill rapidly dividing cancer cells. In this work, the dynamic electric field from TENG directly inhibits the cellular proliferation behavior of cancer cells. The work paves a new way for the self‐generated electric field of TENG for cancer therapy.

Authors

Meihua Chen,Xin Cui,Yaming Zhang,Pingjin Zou,Ling Xiao,Mengzhe Kang,Junyang Chen,Junjin Ren,Zengyi Fang,Lijie Li,Jinyi Lang,Yan Zhang,Zhong Lin Wang

Journal

Advanced Materials Technologies

Published Date

2024/1

Suppressing the self-discharge of high-frequency supercapacitors using electrolytes containing BaTiO3 nanoparticles

High-frequency supercapacitors (HF–SCs) are promising electric energy storage devices and alternating current line filters. However, severe self-discharge of HF–SCs causes significant energy loss and limits their applications. Current self-discharge suppression methods for supercapacitors typically lead to decreased rate performance and hence cannot be applied to HF–SCs directly. In this work, barium titanate (BTO) nanoparticles are employed as an electrolyte additive for HF–SCs to reduce self-discharge. By adding BTO nanoparticles into the electrolyte, both leakage current and decay of open circuit voltage of the devices are reduced without sacrificing the specific capacitance and high-frequency response. At a charging voltage of 2 V, the leakage current is reduced by 49 % (3.91 vs. 1.98 μA), while the time for the voltage to drop from 2.0 to 1.0 V is extended by 4.5 times (2300 vs. 10240 sec). When the HF …

Authors

Maosheng Wu,Man Zhao,Xianmao Lu,Zhong Lin Wang

Journal

Journal of Power Sources

Published Date

2024/2/28

A Rolling‐Bead Triboelectric Nanogenerator for Harvesting Omnidirectional Wind‐Induced Energy toward Shelter Forests Monitoring

Shelter forests (or shelter‐belts), while crucial for climate regulation, lack monitoring systems, e.g., Internet of Things (IoT) devices, but their abundant wind energy can potentially power these devices using the trees as mounting points. To harness wind energy, an omnidirectional fluid‐induced vibration triboelectric nanogenerator (OFIV‐TENG) has been developed. The device is installed on shelter forest trees to harvest wind energy from all directions, employing a fluid‐induced vibration (FIV) mechanism (fluid‐responding structure) that can capture and use wind energy, ranging from low wind speeds (vortex vibration) to high wind speeds (galloping). The rolling‐bead triboelectric nanogenerator (TENG) can efficiently harvest energy while minimizing wear and tear. Additionally, the usage of double electrodes results in an effective surface charge density of 21.4 µC m−2, which is the highest among all reported …

Authors

Yaxing Cao,Erming Su,Yanshuo Sun,Zhong Lin Wang,Leo NY Cao

Journal

Small

Published Date

2024/3

Professor FAQs

What is Zhong Lin Wang's h-index at Georgia Institute of Technology?

The h-index of Zhong Lin Wang has been 220 since 2020 and 306 in total.

What are Zhong Lin Wang's research interests?

The research interests of Zhong Lin Wang are: nanogenerator, self-powered sensors/systems, blue energy, piezotronics, piezo-phototronics

What is Zhong Lin Wang's total number of citations?

Zhong Lin Wang has 417,234 citations in total.

What are the co-authors of Zhong Lin Wang?

The co-authors of Zhong Lin Wang are Yong Ding, Xudong Wang, Hengyu Guo (郭恒宇), Long Lin, Simiao Niu, Sihong Wang.

Co-Authors

H-index: 99
Yong Ding

Yong Ding

Georgia Institute of Technology

H-index: 85
Xudong Wang

Xudong Wang

University of Wisconsin-Madison

H-index: 80
Hengyu Guo (郭恒宇)

Hengyu Guo (郭恒宇)

Chongqing University

H-index: 70
Long Lin

Long Lin

Georgia Institute of Technology

H-index: 66
Simiao Niu

Simiao Niu

Stanford University

H-index: 61
Sihong Wang

Sihong Wang

University of Chicago

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