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Gang Ge

Researcher at Nanjing Tech University

Publications -  11
Citations -  2314

Gang Ge is an academic researcher from Nanjing Tech University. The author has contributed to research in topics: Self-healing hydrogels & Pressure sensor. The author has an hindex of 8, co-authored 10 publications receiving 1107 citations. Previous affiliations of Gang Ge include Center for Advanced Materials & King Abdullah University of Science and Technology.

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Stretchable Ti3C2Tx MXene/Carbon Nanotube Composite Based Strain Sensor with Ultrahigh Sensitivity and Tunable Sensing Range

TL;DR: The versatile and scalable Ti3C2Tx MXene/CNT strain sensors provide a promising route to future wearable artificial intelligence with comprehensive tracking ability of real-time and in situ physiological signals for health and sporting applications.
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Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensor.

TL;DR: Inspired by the fiber-reinforced microstructures and mechano-transduction systems of human muscles, a self-healing, long-lasting thermal tolerant and dual-sensory hydrogel-based sensor is proposed, with high gauge factor and a flexible touch keyboard for signature identification and a "fever indicator" for human forehead's temperature detection can be realized by this Hydrogel bioelectronic device.
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Stretchable, Transparent, and Self-Patterned Hydrogel-Based Pressure Sensor for Human Motions Detection

TL;DR: In this paper, a binary networked conductive hydrogel is prepared using acrylamide and polyvinyl alcohol, and an ultrastretchable pressure sensor with biocompatibility and transparency is fabricated cost effectively.
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MXene hydrogels: fundamentals and applications.

TL;DR: This tutorial review intends to show the enormous potential of MXene hydrogels in expanding the application range of both hydrogel and MXenes, as well as increasing the performance of MXenes-based devices.
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A flexible pressure sensor based on rGO/polyaniline wrapped sponge with tunable sensitivity for human motion detection.

TL;DR: The results demonstrate that the flexible pressure sensor based on the functional-sponge is a promising candidate for healthcare monitoring and wearable circuitry in artificial intelligence.