Improving ductility and bending features of poplar glued laminated beams by means of embedded carbon material

2021 ◽  
Vol 304 ◽  
pp. 124469
Author(s):  
Francisco J. Rescalvo ◽  
Cristian Timbolmas ◽  
Rafael Bravo ◽  
Ignacio Valverde-Palacios ◽  
Antolino Gallego
Keyword(s):  
Carbon Material ◽  
Laminated Beams

Prospects of application of high-tech carbon material as drainage in glaucoma surgery

2017 ◽  
Vol 10 (4) ◽  
pp. 63-67
Author(s):  
A.V. Stepanov ◽  
◽  
P.I. Zolkin ◽  
U.Sh. Gamzaeva ◽  
◽  
...  
Keyword(s):  
Carbon Material ◽  
Glaucoma Surgery ◽  
High Tech ◽  
Prospects Of Application

Separation of highly dispersed carbon material of OU-B grade from aqueous solutions using electroflotation technique

2020 ◽  
Vol 245 ◽  
pp. 116861
Author(s):  
Anastasia Gaydukova ◽  
Vladimir Kolesnikov ◽  
Alyona Stoyanova ◽  
Artem Kolesnikov
Keyword(s):  
Aqueous Solutions ◽  
Carbon Material ◽  
Highly Dispersed

The Coralloid-carbon Material Based on Biomass as Promising Anode Material for Lithium and Sodium Storage

2021 ◽  
Author(s):  
Ziqiang Yu ◽  
Zhiqiang Zhao ◽  
Tingyue Peng
Keyword(s):  
Lithium Ion Battery ◽  
Anode Material ◽  
Carbon Material ◽  
Specific Capacity ◽  
Lithium Ion ◽  
High Specific Capacity ◽  
Further Development ◽  
Sodium Storage ◽  
Cycling Life

Lithium ion battery (LIB), advantageous in high specific capacity, long cycling life and eco-friendly, has been widely used in many fields. The dwindling reserves, however, limit the further development. Sharing...

scholarly journals Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

2021 ◽  
Author(s):  
Daniil A. Boiko ◽  
Evgeniy O. Pentsak ◽  
Vera A. Cherepanova ◽  
Evgeniy G. Gordeev ◽  
Valentine P. Ananikov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Carbon Material ◽  
Deep Neural Network ◽  
Carbon Materials ◽  
Material Surface ◽  
Neural Network Analysis ◽  
Pd Nanoparticle ◽  
Sem Imaging

Defectiveness of carbon material surface is a key issue for many applications. Pd-nanoparticle SEM imaging was used to highlight “hidden” defects and analyzed by neural networks to solve order/disorder classification and defect segmentation tasks.

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