Investigation of paralleling Bipole II and the future Bipole III in Nelson River HVDC system

Zoroofi, S.; Suriyaarachchi, D.H.R.; Kell, D.; Mohaddes, M.; Wang, P.; Jacobson, David

doi:10.1049/cp.2012.1941

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on what was previously mentioned, for high intensity of the electric field (e.g. for Ε>10 5 V/cm) where the presence of non-linear phenomena becomes significant, in the equation describing the polarization conditions of higher rate appear and the polarization is presented as an expansion of the Taylor sequence according to the following form [33], [35]:…”

Section: Nature Of Lightmentioning

confidence: 99%

“…𝑃 ⃗ (𝑡) = 𝜀 𝜒 ( ) 𝐸 ⃗ (𝑡) + 𝜒 ( ) 𝐸 ⃗ (𝑡) + 𝜒 ( ) 𝐸 ⃗ (𝑡) + ⋯ where 𝜒 ( ) is the second rate susceptibility, 𝜒 ( ) is the third rate susceptibility and so on and so forth. The susceptibilities are generally tensors, so, for instance, the first rate susceptibility 𝜒 ( ) is a second rate tensor with 3x3=9 elements and the corresponding polarization is presented by the following form [25], [34], [35]:…”

Section: Nature Of Lightmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Survey on Nanophotonics Neural Networks

Demertzis¹,

Παπαδόπουλος²,

Iliadis³

et al. 2021

Preprint

View full text Add to dashboard Cite

: In the last years, materializations of neuromorphic circuits based on nanophotonic arrangements have been proposed, which contain complete optical circuits, laser, photodetectors, photonic crystals, optical fibers, flat waveguides, and other passive optical elements of nanostructured materials, which eliminate the time of simultaneous processing of big groups of data, taking advantage of the quantum perspective and thus highly increasing the potentials of contemporary intelligent computational systems. This article is an effort to record and study the research that has been conducted concerning the methods of development and materialization of neuromorphic circuits of Neural Networks of nanophotonic arrangements. In particular, an investigative study of the methods of developing nanophotonic neuromorphic processors, their originality in neuronic architectural structure, their training methods and their optimization has been realized along with the study of special issues such as optical activation functions and cost functions.

show abstract

Section: Nature Of Lightmentioning

confidence: 99%

Section: Nature Of Lightmentioning

confidence: 99%

A Comprehensive Survey on Nanophotonics Neural Networks

Demertzis¹,

Παπαδόπουλος²,

Iliadis³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Bibliography of HVDC transmission 2012–13 IEEE Working Group report

Gupta

Varma

Litzenberger

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

View full text Add to dashboard Cite

A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions

Demertzis

Papadopoulos

Iliadis

et al. 2022

Sensors

View full text Add to dashboard Cite

In the last years, materializations of neuromorphic circuits based on nanophotonic arrangements have been proposed, which contain complete optical circuits, laser, photodetectors, photonic crystals, optical fibers, flat waveguides and other passive optical elements of nanostructured materials, which eliminate the time of simultaneous processing of big groups of data, taking advantage of the quantum perspective, and thus highly increasing the potentials of contemporary intelligent computational systems. This article is an effort to record and study the research that has been conducted concerning the methods of development and materialization of neuromorphic circuits of neural networks of nanophotonic arrangements. In particular, an investigative study of the methods of developing nanophotonic neuromorphic processors, their originality in neuronic architectural structure, their training methods and their optimization was realized along with the study of special issues such as optical activation functions and cost functions. The main contribution of this research work is that it is the first time in the literature that the most well-known architectures, training methods, optimization and activations functions of the nanophotonic networks are presented in a single paper. This study also includes an extensive detailed meta-review analysis of the advantages and disadvantages of nanophotonic networks.

show abstract

Investigation of paralleling Bipole II and the future Bipole III in Nelson River HVDC system

Cited by 3 publications

References 0 publications

A Comprehensive Survey on Nanophotonics Neural Networks

A Comprehensive Survey on Nanophotonics Neural Networks

Bibliography of HVDC transmission 2012–13 IEEE Working Group report

A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions

Contact Info

Product

Resources

About

Investigation of paralleling Bipole II and the future Bipole III in Nelson River HVDC system

Cited by 3 publications

References 0 publications

A Comprehensive Survey on Nanophotonics Neural Networks

A Comprehensive Survey on Nanophotonics Neural Networks

Bibliography of HVDC transmission 2012&#x2013;13 IEEE Working Group report

A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions

Contact Info

Product

Resources

About

Bibliography of HVDC transmission 2012–13 IEEE Working Group report