John Long
7 Papers
John Long is an academic researcher. The author has contributed to research in topics: Computer science & Self-healing hydrogels. The author has an hindex of 2, co-authored 3 publications.
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Papers
Comparative study on the contact-separation mode triboelectric nanogenerator
TL;DR: In this article , a comparative study has been conducted for analysing four intrinsic electrical output of the TENG, including the open-circuit voltage, short-circuits charge, capacitance, and energy.
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Recent Progress in Hydrogel-based Sensors and Energy Harvesters
TL;DR: In this paper , a classification of hydrogels is presented and a guideline for overcoming the current issues with hydrogel development and applications is provided for future research, including the key challenges associated with the creation of Hydrogel-based sensors and energy harvesters have been identified and discussed.
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A binary stiffness compliant neural microprobe
Naser Sharafkhani,John Long,Scott Adams,Abbas Z. Kouzani +3 more
- 01 Dec 2023
TL;DR: Researchers design a binary stiffness compliant neural microprobe that adapts to brain micromotion, reducing tissue damage and failure risk. The microprobe's stiffness changes from 4.2 GPa to 40 kPa during insertion and operation, outperforming existing designs in simulations and lamb brain experiments.
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A self-stiffening compliant intracortical microprobe
Naser Sharafkhani,John Long,Scott Adams,Abbas Z. Kouzani +3 more
TL;DR: An intracortical microprobe that incorporates two compressible structures to make the microprobe both adaptive to the brain during operation and stiff during insertion is proposed, which is experimentally validated and inserted into a lamb’s brain without buckling.
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