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<strong>Experimental and neural network approach to effective electrical conductivity of carbon nanotubes dispersed chiral nematic liquid crystals</strong>

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Title Statement <strong>Experimental and neural network approach to effective electrical conductivity of carbon nanotubes dispersed chiral nematic liquid crystals</strong>
 
Added Entry - Uncontrolled Name Kumar, Rishi ; 1. Materials Research Laboratory, School of Physics and Materials Science, Thapar University, Patiala-147004, India 2. Department of Science,Guru Nanak College, Budhlada-151502,Mansa, India
Singh, Rajpal
Middha, Manju
Raina, KK
 
Uncontrolled Index Term Condensed Matter Physics
Single walled carbon nano tubes (SWCNTs); Electrical conductivity; Liquid crystals; Artificial neural network; Electro-optic switching
 
Summary, etc. Single walled carbon nanotubes (SWCNT’s) doped cholesteric liquid crystal composite has been prepared and characterized for their electrical responses. Also theoretically, an artificial neural network (ANN) approach has been trained for predicting the effective electrical conductivity of these composites. The ANN models are based on a feedforward backpropagation (FFBP) network with such training functions as the adaptive learning rate (GDX), gradient descent with adaptive learning rate (GDA), gradient descent (GD), conjugates gradient with Powell-Beale restarts (CGB), one-step secant (OSS), and Levenberg–Marquardt (LM), and training algorithms run at the uniform threshold transfer functions-Tangent sigmoid (TANSIG) and pure linear (PURELIN) for 1000 epochs. Our modeling confirms that the expected effective electrical conductivity by different training functions of ANN is in higher agreement with the experimental results of SWCNT doped CLC composites.
 
Publication, Distribution, Etc. Indian Journal of Pure & Applied Physics (IJPAP)
2017-11-22 10:02:31
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJPAP/article/view/14776
 
Data Source Entry Indian Journal of Pure & Applied Physics (IJPAP); ##issue.vol## 55, ##issue.no## 11 (2017): Indian Journal of Pure & Applied Physics
 
Language Note en
 
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