A repository & source of cutting edge news about emerging terahertz technology, it's commercialization & innovations in THz devices, quality & process control, medical diagnostics, security, astronomy, communications, applications in graphene, metamaterials, CMOS, compressive sensing, 3d printing, and the Internet of Nanothings. NOTHING POSTED IS INVESTMENT ADVICE! REPOSTED COPYRIGHT IS FOR EDUCATIONAL USE.
Showing posts with label Hai Zhang. Show all posts
Showing posts with label Hai Zhang. Show all posts
Thursday, March 21, 2019
Abstract-Quantum-critical conductivity of the Dirac fluid in graphene
Patrick Gallagher, Chan-Shan Yang, Tairu Lyu, Fanglin Tian, Rai Kou1, Hai Zhang, Kenji Watanabe, Takashi Taniguchi
http://science.sciencemag.org/content/early/2019/02/27/science.aat8687?rss=1
Graphene near charge neutrality is expected to behave like a quantum-critical, relativistic plasma—the “Dirac fluid”—in which massless electrons and holes rapidly collide at a rapid rate. We measure the frequency-dependent optical conductivity of clean, micron-scale graphene at electron temperatures between 77 and 300 K using on-chip terahertz spectroscopy. At charge neutrality, we observe the quantum-critical scattering rate characteristic of the Dirac fluid. At higher doping, we uncover two distinct current-carrying modes with zero and nonzero total momenta, a manifestation of relativistic hydrodynamics. Our work reveals the quantum criticality and unusual dynamic excitations near charge neutrality in graphene.
Saturday, May 12, 2018
Abstract-An Infrared-Induced Terahertz Imaging Modality for Foreign Insert Detection in A Glass Fiber-Skinned Lightweight Honeycomb Composite Panel
Hai Zhang, Stefano Sfarra, Ahmad Osman, Klaus Szielasko, Christopher Stumm, Marc Genest, Xavier Maldague
https://ieeexplore.ieee.org/document/8353417/
In this paper,
terahertz time-domain spectroscopy (THz-TDS) is used for the first time to
detect fabricated defects in a glass fiber-skinned lightweight honeycomb
composite panel. A novel amplitude polynomial regression (APR) algorithm is
proposed as a pre-processing method. This method segments the
amplitude-frequency curves to simulate the heating and the cooling monotonic
behavior as in infrared thermography. Then, the method of empirical orthogonal
function (EOF) imaging is applied on the APR pre-processed data as a
post-processing algorithm. Signal-to-noise ratio analysis is performed to
verify the image improvement of the proposed APR-EOF modality from a
quantitative point of view. Finally, the experimental results and the physical
analysis show that THz is more suitable with respect to the detection of
defects in glass fiber lightweight honeycomb composites.
Thursday, April 6, 2017
Abstract-Non-destructive Investigation of Paintings on Canvas by Continuous Wave Terahertz Imaging and Flash Thermography
Hai Zhang, Stefano Sfarra, Karan Saluja, Jeroen Peeters, Julien Fleuret, Yuxia Duan, Henrique Fernandes, Nicolas Avdelidis, Clemente Ibarra-Castanedo, Xavier Maldague
https://www.springerprofessional.de/non-destructive-investigation-of-paintings-on-canvas-by-continuo/12201724
Terahertz (THz) imaging is increasingly used in the cultural heritage field. In particular, continuous wave (CW) and low frequency THz is attracting more attention. The first application of the THz technique inherent to the cultural heritage field dates back 10 years ago. Since 2006, tangible improvements have been conducted in the refinement of the technique, with the aim to produce clear maps useful for any art restorer. In this paper, a CW THz (0.1 THz) imaging system was used to inspect paintings on canvas both in reflection and in transmission modes. In particular, two paintings were analyzed: in the first one, similar materials and painting execution of the original artwork were used, while in the second one, the canvas layer is slightly different. Flash thermography was used herein together with the THz method in order to observe the differences in results for the textile support materials. A possible application of this method for the detection of artwork forgery requires some parameterization and analysis of various materials or thickness influence which will be addressed in a future study. In this work, advanced image processing techniques including principal component thermography (PCT) and partial least squares thermography (PLST) were used to process the infrared data. Finally, a comparison of CW THz and thermographic results was conducted.
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