Huanyu Cheng

Professor of Engineering Science and Mechanics


Huanyu Cheng

Huck Affiliations

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Most Recent Publications

Li Yang, Xue Chen, Ankan Dutta, Hui Zhang, Zihan Wang, Mingyang Xin, Shuaijie Du, Guizhi Xu, Huanyu Cheng, 2025, Nature Communications

Sungkeun Han, Jeong Woong Shin, Joong Hoon Lee, Bowen Li, Gwan Jin Ko, Tae Min Jang, Ankan Dutta, Won Bae Han, Seung Min Yang, Dong Je Kim, Heeseok Kang, Jun Hyeon Lim, Chan Hwi Eom, So Jeong Choi, Huanyu Cheng, Suk Won Hwang, 2025, Nano-Micro Letters

Li Yang, Longbiao Mao, Shuaijie Du, Zihan Wang, Wenyuan Fu, Chengpeng Yao, Luxiang Xu, Hui Zhang, Huanyu Cheng, 2025, Sensors and Actuators B: Chemical

Bioinspired Durable Mechanical‐Bioelectrical Dual‐Modal Sensors Enabled by Mixed Ion‐Electron Conduction and Mechanical Interlocking for Multifunctional Sensing

Huanyu Cheng, 2025, Advanced Functional Materials

In2O3–ZnO/Laser-Induced Graphene Nanocomposites for a Highly Sensitive, Room-Temperature, Flexible Methane Gas Sensor

Huanyu Cheng, 2025, ACS Applied Nano Materials

Thermoelectric Composites Based on Porous Laser-Induced Graphene and Ion Hydrogel

Hui Zhang, Houze Yang, Mingyang Xin, Zihan Wang, Hongyu Zhang, Ankan Dutta, Huanyu Cheng, Li Yang, 2025, ACS applied materials & interfaces on p. 21773-21784

Stretchable, Rechargeable, Multimodal Hybrid Electronics for Decoupled Sensing toward Emotion Detection

Yangbo Yuan, Hongcheng Xu, Libo Gao, Huanyu Cheng, 2025, Nano Letters on p. 5220-5230

Electrochemical Self-Sacrificial Label Conversion Coupled with DNA Framework Nanomachine Mediated Serotonin Sensing with Highly Minimized Background Noise

Baoting Dou, Yan Chen, Qiumei Feng, Huanyu Cheng, Po Wang, 2025, Analytical Chemistry on p. 157-165

Most-Cited Papers

Bioresorbable silicon electronic sensors for the brain

Seung Kyun Kang, Rory K.J. Murphy, Suk Won Hwang, Seung Min Lee, Daniel V. Harburg, Neil A. Krueger, Jiho Shin, Paul Gamble, Huanyu Cheng, Sooyoun Yu, Zhuangjian Liu, Jordan G. McCall, Manu Stephen, Hanze Ying, Jeonghyun Kim, Gayoung Park, R. Chad Webb, Chi Hwan Lee, Sangjin Chung, Dae Seung Wie, Amit D. Gujar, Bharat Vemulapalli, Albert H. Kim, Kyung Mi Lee, Jianjun Cheng, Younggang Huang, Sang Hoon Lee, Paul V. Braun, Wilson Z. Ray, John A. Rogers, 2016, Nature on p. 71-76

Sheng Xu, Zheng Yan, Kyung In Jang, Wen Huang, Haoran Fu, Jeonghyun Kim, Zijun Wei, Matthew Flavin, Joselle McCracken, Renhan Wang, Adina Badea, Yuhao Liu, Dongqing Xiao, Guoyan Zhou, Jungwoo Lee, Ha Uk Chung, Huanyu Cheng, Wen Ren, Anthony Banks, Xiuling Li, Ungyu Paik, Ralph G. Nuzzo, Yonggang Huang, Yihui Zhang, John A. Rogers, 2015, Science on p. 154-159

Yanbing Yang, Xiangdong Yang, Ling Liang, Yuyan Gao, Huanyu Cheng, Xinming Li, Mingchu Zou, Anyuan Cao, Renzhi Ma, Quan Yuan, Xiangfeng Duan, 2019, Science on p. 1057-1062

Kyung In Jang, Ha Uk Chung, Sheng Xu, Chi Hwan Lee, Haiwen Luan, Jaewoong Jeong, Huanyu Cheng, Gwang Tae Kim, Sang Youn Han, Jung Woo Lee, Jeonghyun Kim, Moongee Cho, Fuxing Miao, Yiyuan Yang, Han Na Jung, Matthew Flavin, Howard Liu, Gil Woo Kong, Ki Jun Yu, Sang Il Rhee, Jeahoon Chung, Byunggik Kim, Jean Won Kwak, Myoung Hee Yun, Jin Young Kim, Young Min Song, Ungyu Paik, Yihui Zhang, Yonggang Huang, John A. Rogers, 2015, Nature Communications

Ki Jun Yu, Duygu Kuzum, Suk Won Hwang, Bong Hoon Kim, Halvor Juul, Nam Heon Kim, Sang Min Won, Ken Chiang, Michael Trumpis, Andrew G. Richardson, Huanyu Cheng, Hui Fang, Marissa Thompson, Hank Bink, Delia Talos, Kyung Jin Seo, Hee Nam Lee, Seung Kyun Kang, Jae Hwan Kim, Jung Yup Lee, Younggang Huang, Frances E. Jensen, Marc A. Dichter, Timothy H. Lucas, Jonathan Viventi, Brian Litt, John A. Rogers, 2016, Nature Materials on p. 782-791

Large-Area Ultrathin Graphene Films by Single-Step Marangoni Self-Assembly for Highly Sensitive Strain Sensing Application

Xinming Li, Tingting Yang, Yao Yang, Jia Zhu, Li Li, Fakhr E. Alam, Xiao Li, Kunlin Wang, Huanyu Cheng, Cheng Te Lin, Ying Fang, Hongwei Zhu, 2016, Advanced Functional Materials on p. 1322-1329

Graphene Reinforced Carbon Nanotube Networks for Wearable Strain Sensors

Jidong Shi, Xinming Li, Huanyu Cheng, Zhuangjian Liu, Lingyu Zhao, Tingting Yang, Zhaohe Dai, Zengguang Cheng, Enzheng Shi, Long Yang, Zhong Zhang, Anyuan Cao, Hongwei Zhu, Ying Fang, 2016, Advanced Functional Materials on p. 2078-2084

James J.S. Norton, Dong Sup Lee, Jung Woo Lee, Woosik Lee, Ohjin Kwon, Phillip Won, Sung Young Jung, Huanyu Cheng, Jae Woong Jeong, Abdullah Akce, Stephen Umunna, Ilyoun Na, Yong Ho Kwon, Xiao Qi Wang, Zhuang Jian Liu, Ungyu Paik, Yonggang Huang, Timothy Bretl, Woon Hong Yeo, John A. Rogers, Zhenan Bao, 2015, Proceedings of the National Academy of Sciences of the United States of America on p. 3920-3925

Biodegradable elastomers and silicon nanomembranes/nanoribbons for stretchable, transient electronics, and biosensors

Suk Won Hwang, Chi Hwan Lee, Huanyu Cheng, Jae Woong Jeong, Seung Kyun Kang, Jae Hwan Kim, Jiho Shin, Jian Yang, Zhuangjian Liu, Guillermo A. Ameer, Yonggang Huang, John A. Rogers, 2015, Nano Letters on p. 2801-2808

Honglei Zhou, Yue Zhang, Ye Qiu, Huaping Wu, Weiyang Qin, Yabin Liao, Qingmin Yu, Huanyu Cheng, 2020, Biosensors and Bioelectronics

News Articles Featuring Huanyu Cheng

Artificial eyes could bring human-like sight to self-driving cars, robots

Although self-driving cars and sophisticated robots use advanced cameras, computer algorithms and artificial intelligence (AI) to picture their surroundings, these artificial eyes struggle to remain reliable in mixed lighting conditions. A team of researchers, co-led by an engineer from Penn State, has proposed a solution that mimics the mechanics of the human eye to adapt from bright to dark light in seconds.

Novel biogel may solve a hairy problem for wearable brain-monitoring systems

A vital tool for healthcare practitioners, electroencephalography (EEG) systems measure electrical activity in the brain through electrodes placed on the scalp, but getting reliable readings can be surprisingly difficult. Hair interferes with contact between the electrodes and skin, and the gels used to improve those connections often dry out over time, weakening signal quality. Researchers at Penn State have developed a reusable material designed to solve both problems at once. The material is a thermoreversible semiconducting ionic biogel, meaning it becomes liquid when gently heated so it can move through hair and reach the scalp, then returns to a stable gel as it cools, keeping its conducting and semiconducting character.

Q&A: Robots can’t feel; these sensors could change that

A research team, including Huanyu “Larry” Cheng, James L. Henderson Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, is using pressure sensors — tiny devices, roughly the size of a paperclip, that can measure the force applied over an area — to design a highly sensitive electronic “skin” to use alongside robots and prosthetic limbs.

Shrinking materials hold big potential for smart devices, researchers say

Wearable electronics could be more wearable, according to a research team at Penn State. The researchers developed a scalable, versatile approach to designing and fabricating wireless, internet-enabled electronic systems that can better adapt to 3D surfaces, like the human body or common household items, paving the path for more precise health monitoring or household automation, such as a smart recliner that can monitor and co

Cutting-Edge Monitor Capable of Detecting Vitamin B6 and Glucose Levels in Sweat

A groundbreaking development in health monitoring has emerged from a collaborative effort at Penn State.

Highly sensitive monitor can detect vitamin B6, glucose in sweat

The on-skin sensing platform, developed by a team led by researchers at Penn State, can detect vitamin B6 in small concentrations of sweat. The sensor also has the capability to be adapted for glucose sensing at a high sensitivity, allowing patients with diabetes to monitor glucose and vitamin B6 simultaneously.

New sensor is a breath of fresh air for diagnosing diabetes

A team led by a researcher at Penn State has developed a sensor that can help diagnose diabetes and prediabetes on-site in a few minutes using just a breath sample.

Breaking a sweat: Using chloride in sweat to help diagnose cystic fibrosis

Researchers at Penn State develop a wearable sensor that can accurately measure the chloride ion levels of sweat in real time.

New graphene-based sensor can help diagnose diabetes and prediabetes based on a breath sample

Skin-like sensor monitors internal, external body movement, electrical signals

A new skin-like sensor developed by an international team led by researchers at Penn State could help doctors monitor vital signs more accurately, track healing after surgery and even help patients with bladder control issues.

‘Scialog’ grant to study how rising ocean temperatures affect fish behavior

A wildlife behavioral ecologist at Penn State is part of a multi-institution team that received funding from Scialog: Neurobiology and Changing Ecosystems, a international three-year initiative that aims to spark new science exploring neurobiological responses to rapidly changing environments.

Scientists create a smart sticker that reads your true feelings, even if you deliberately hide them

Scientists create a smart sticker that reads your true feelings, even if you deliberately hide them

A Breakthrough in Emotional Sensing: Wearable Patch Reveals Hidden Feelings

To help healthcare providers better detect these hidden emotions, researchers led by a team at Penn State have developed a soft, stretchable, rechargeable sticker that can detect genuine emotional states by measuring physiological signals such as skin temperature, heart rate, and more.

Forget "mood" rings, this invention just identified human emotions with nearly 90% accuracy

Penn State University scientists have invented a sticker that successfully identifies human emotions with nearly 90% accuracy.

This sticker reads emotions (even the ones you try to hide)

The wearable device analyzes the tiny changes in physical responses to predict how a person is feeling.

High-tech sticker can identify real human emotions

A team led by scientists at Penn State has created a stretchable, rechargeable sticker that can detect real emotions — by measuring things like skin temperature and heart rate — even when users put on a brave face.

New smart sensor takes the pain out of wound monitoring

Laser-made, ultra-thin material enables precise, self-powered tracking of healing wounds.

Old wisdom meets new tech: Traditional Chinese medicine inspires pulse sensors

A team led by Penn State researchers used principles of pulse monitoring in traditional Chinese medicine to design a pressure-sensing platform to identify the optimal pulse signal, which they combined with a machine learning model to also predict blood pressure.

Q&A: New technology may help identify neuromotor disease symptoms in infants

A team of researchers led by Huanyu “Larry” Cheng tested the use of wearable sensors paired with a “tiny” machine learning algorithm to automatically monitor and evaluate general movements in infants.

Q&A: Sensors that monitor neurological conditions in real time

A team of researchers led by Huanyu “Larry” Cheng created a highly-sensitive and cost-effective sensor to better monitor the concentration in sweat or urine of dopamine and tyrosine, a neurotransmitter and an amino acid that are present in the brain.

$4M grant funds project to make robotic prostheses more like biological limbs

Prosthetic hands that incorporate robotics can perform dexterous self-care tasks, but they are often hard to operate, requiring a user’s constant attention with a limited number of hand functions. With a five-year, $4 million U.S. National Science Foundation grant, Penn State researchers aim to make robotic protheses more useful for people living with amputations.

Health data, faster: Wearable stretchy sensor can process, predict health data

Engineering researchers created a machine learning platform that can more efficiently analyze and predict data points collected by wearables.

A new wearable sensor can monitor sweat in real time

A team of researchers at Penn State has developed a new wearable patch that can monitor your health by analyzing your sweat

New wearable sensor makes continuous analysis of sweat possible, researchers say

A Penn State research team has created a novel wearable patch that may provide the ability fir continuous monitoring of sweat.

Penn State receives $3M grant to address insect biodiversity crisis

Penn State researchers have received a $3 million grant from the National Science Foundation to spearhead a new initiative to create novel monitoring systems for insect populations.