Rapid synthesis of self-propelled tubular micromotors for “ON-OFF” fluorescent detection of explosives

2021 ◽  
Author(s):  
Ke Wang ◽  
Enhui Ma ◽  
Zhenqi Hu ◽  
Hong Wang

Self-propelled micromotors hold great promise in environmental sensing applications, whereas the mass production of tubular micromotors is still a challenge to be solved urgently toward their practical usage. Herein, we...

Science ◽  
2020 ◽  
Vol 367 (6480) ◽  
pp. 903-906 ◽  
Author(s):  
Fang Liu ◽  
Wenjing Wu ◽  
Yusong Bai ◽  
Sang Hoon Chae ◽  
Qiuyang Li ◽  
...  

Two-dimensional materials from layered van der Waals (vdW) crystals hold great promise for electronic, optoelectronic, and quantum devices, but technological implementation will be hampered by the lack of high-throughput techniques for exfoliating single-crystal monolayers with sufficient size and high quality. Here, we report a facile method to disassemble vdW single crystals layer by layer into monolayers with near-unity yield and with dimensions limited only by bulk crystal sizes. The macroscopic monolayers are comparable in quality to microscopic monolayers from conventional Scotch tape exfoliation. The monolayers can be assembled into macroscopic artificial structures, including transition metal dichalcogenide multilayers with broken inversion symmetry and substantially enhanced nonlinear optical response. This approach takes us one step closer to mass production of macroscopic monolayers and bulk-like artificial materials with controllable properties.


Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 537
Author(s):  
Vincenzo Caligiuri ◽  
Antonio De Luca

Hydrogen (H2) sensing is crucial for modern energy storage technology, which looks to hydrogen as the most promising alternative to fossil fuels. In this respect, magnesium (Mg) offers unique possibilities, since magnesium and hydrogen easily undergo a reversible hydrogenation reaction where Mg reversibly converts into MgH2. From an optical point of view, this process produces an abrupt refractive index change, which can be exploited for sensing applications. To maximize this opportunity, we envision an architecture composed of two Ag/ITO/Mg metal/dielectric resonators facing each other and displaced by 200 nm of vacuum. This structure forms a so-called Epsilon-Near-Zero (ENZ) multi-cavity resonator, in which the two internal Mg layers, used as tunneling coupling metals, are accessible to environmental agents. We demonstrate that the hydrogenation of the two Mg layers leads to substantial changes in the strong coupling between the cavities composing the entire resonator, with a consequent abrupt modification of the spectral response, thus enabling the sensing mechanism. One of the main advantages of the proposed system with respect to previous research is that the proposed multilayered architecture avoids the need for lithographic processes. This feature makes the proposed architecture inexpensive and wafer-to-chip scalable, considering that each kind of substrate from common glass to silicon can be used. Therefore, our sensing architecture offers great promise for applications in embedded H2 sensors.


Author(s):  
Julian Hird ◽  
Andrew Conn ◽  
Sabine Hauert

Single-use jumping robots that are mass-producible and biodegradable could be quickly released for environmental sensing applications. Such robots would be pre-loaded to perform a set number of jumps, in random directions and with random distances, removing the need for onboard energy and computation. Stochastic jumpers build on embodied randomness and large-scale deployments to perform useful work. This paper introduces simulation results showing how to construct a large group of stochastic jumpers to perform environmental sensing, and the first demonstration of robot prototypes that can perform a set number of sequential jumps, have full-body sensing, and are well suited to be made biodegradable. Corresponding author(s) Email: [email protected]@bristol.ac.uk


2021 ◽  
pp. 112644
Author(s):  
Jawayria Najeeb ◽  
Umme Farwa ◽  
Fatima Ishaque ◽  
Hira Munir ◽  
Abbas Rahdar ◽  
...  

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