reduce graphene oxide
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2022 ◽  
Vol 216 ◽  
pp. 106359
Author(s):  
Qiuxiang Wang ◽  
Zongxue Yu ◽  
Yuchuan Liu ◽  
Ximei Zhu ◽  
Runxuan Long ◽  
...  

2021 ◽  
Vol 281 ◽  
pp. 116892
Author(s):  
Minakshi Sharma ◽  
Parvez Ahmad Alvi ◽  
Saral K. Gupta ◽  
Chandra Mohan Singh Negi

2021 ◽  
Vol 280 ◽  
pp. 116867
Author(s):  
Thieu Quang Quoc Viet ◽  
Tran Huynh Nhu ◽  
Doan Ba Thinh ◽  
Dinh Ngoc Trinh ◽  
Nguyen Thi Huong Giang ◽  
...  

2021 ◽  
Vol 11 (14) ◽  
pp. 6304
Author(s):  
Vittorio Scardaci

Since graphene was discovered, a great deal of research effort has been devoted to finding more and more effective synthetic routes, stimulated by its astounding properties and manifold promising applications. Over the past decade, laser synthesis has been proposed as a viable synthesis method to reduce graphene oxide to graphene as well as to obtain graphene from other carbonaceous sources such as polymers or other natural materials. This review first proposes to discuss the various conditions under which graphene is obtained from the reduction of graphene oxide or is induced from other materials using laser sources. After that, a wide range of applications proposed for the obtained materials are discussed. Finally, conclusions are drawn and the author’s perspectives are given.


2021 ◽  
Vol 7 (2) ◽  
pp. 48
Author(s):  
Vittorio Scardaci ◽  
Giuseppe Compagnini

Laser scribing has been proposed as a fast and easy tool to reduce graphene oxide (GO) for a wide range of applications. Here, we investigate laser reduction of GO under a range of processing and material parameters, such as laser scan speed, number of laser passes, and material coverage. We use Raman spectroscopy for the characterization of the obtained materials. We demonstrate that laser scan speed is the most influential parameter, as a slower scan speed yields poor GO reduction. The number of laser passes is influential where the material coverage is higher, producing a significant improvement of GO reduction on a second pass. Material coverage is the least influential parameter, as it affects GO reduction only under restricted conditions.


2021 ◽  
Vol 1795 (1) ◽  
pp. 012070
Author(s):  
Hamsa A. Abdulmageed ◽  
Abdulhadi. K. Judran ◽  
Farah T. M. Noori

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