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Biomimetics: Research explores potential of graphene oxide


Binghamton University
When damaged, living tissues will knit themselves back together into a functional wholeness. Could we engineer a synthetic material with this amazing quality and, if so, what possibilities would unfold?
In materials science, researchers are developing methods of “bio-mimicking,” in which synthetic materials could emulate biological systems. In an article in the journal Science, Binghamton University Assistant Professor of PhysicsAna Laura Elías and Rodolfo Cruz-Silva of the Research Initiative for Supramaterials and Aqua Global Innovation Center in Japan’s Shinshu University, review one such attempt: the development of reversible fission-fusion graphene oxide fibers. The innovators of this process – Dan Chang, Bo Fang, Zhen Xu, Zheng Li, Fan Guo, Weiwei Gao and Chao Gao of Zheijiang University in China, Yilun Liu of Xi’an Jiaotong University in China, and Laurence Brassart of Monash University in Australia – also had an article published ....

Dan Chang , Bo Fang , South Australia , Yilun Liu , Zhen Xu , Laurence Brassart , Weiwei Gao , Zheng Li , Rodolfo Cruz Silva , Chao Gao , Monash University , Japan Shinshu University , Aqua Global Innovation Center , Zheijiang University , Xian Jiaotong University , Research Initiative For Supramaterials , Binghamton University Assistant Professor , Research Initiative , Shinshu University , Fan Guo , Binghamton University , Monash University , டான் சாங் , போ ஃப்யாஂக் , தெற்கு ஆஸ்திரேலியா , ஜென் ஐயூ ,

Imaging system shows potential in autonomous technologies


The imaging system exploits the advantages of transparent, nanoscale, highly sensitive graphene photodetectors developed by Zhaohui Zhong, U-M associate professor of electrical and computer engineering, and his group.
“The in-depth combination of graphene nanodevices and machine learning algorithms can lead to fascinating opportunities in both science and technology,” said Dehui Zhang, a doctoral student in electrical and computer engineering. “Our system combines computational power efficiency, fast tracking speed, compact hardware and a lower cost compared with several other solutions.”
The graphene photodetectors in this work have been adjusted to absorb about 10 per cent of the light they are exposed to. Because graphene is so sensitive to light, this is sufficient to generate images that can be reconstructed through computational imaging. The photodetectors are stacked behind each other, resulting in a compact system, and each layer focuses on a different foca ....

United States , Dehui Zhang , Ted Norris , Jeffrey Fessler , Zhen Xu , Zhengyu Huang , Zhaohui Zhong , Nature Communications , Best Buy , University Of Michigan , ஒன்றுபட்டது மாநிலங்களில் , டெட் நோரிஸ் , ஜெஃப்ரி பெஸ்சிலேற் , ஜென் ஐயூ , இயற்கை தகவல்தொடர்புகள் , சிறந்தது வாங்க , பல்கலைக்கழகம் ஆஃப் மிச்சிகன் ,

陕西省七任政法委书记迫害法轮功事实(2)

陕西省七任政法委书记迫害法轮功事实(2)
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3D motion tracking system could streamline vision for autonomous tech


Images
A new real-time, 3D motion tracking system developed at the University of Michigan combines transparent light detectors with advanced neural network methods to create a system that could one day replace LiDAR and cameras in autonomous technologies.
While the technology is still in its infancy, future applications include automated manufacturing, biomedical imaging and autonomous driving. A paper on the system is published in
Nature Communications.
50928751578 a3702cc26c q.jpgThe imaging system exploits the advantages of transparent, nanoscale, highly sensitive graphene photodetectors developed by Zhaohui Zhong, U-M associate professor of electrical and computer engineering, and his group. They re believed to be the first of their kind. ....

United States , Dehui Zhang , Ted Norris , Jeffrey Fessler , Zhen Xu , Zhengyu Huang , Zhaohui Zhong , Nature Communications , Best Buy , National Science Foundation , Wm Keck Foundation , Neural Network , University Of Michigan , Network Based , Graphene Transparent Focal Stack Imaging System , National Science , Um Lurie Nanofabrication , Electrical Engineering , Computer Science , Collegiate Professor , Catharine June , Technology Engineering Computer Science , ஒன்றுபட்டது மாநிலங்களில் , டெட் நோரிஸ் , ஜெஃப்ரி பெஸ்சிலேற் , ஜென் ஐயூ ,