High-power diode laser sources for materials processing

Kleine, Klaus; Balu, Prabu

doi:10.1109/hpd.2017.8261076

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, when the intensity of radiation is high, as it happens with laser, for example, and in particular with a focused-beam laser of great power, it has been proved experimentally that the optic response of matter and the optical parameters are modified, often significantly, and become dependent on the intensity of the radiation [ 28 ]. It is then that various extremely interesting phenomena take place, which are not detected in the case of low intensity impacting radiation [ 29 ]. These phenomena cannot be interpreted considering the linear response of matter, as it is expressed in the fundamental linear relation between the cause, i.e., the E electric field, and the result, i.e., the P inductive polarization [ 22 , 30 , 31 ]:

where

is the linear susceptibility and

, ε is the intra-electrical invariant of vacuum and matter, respectively.…”

Section: Nature Of Lightmentioning

confidence: 99%

“…Through the L4 and L5 lens system, the non-linearity is introduced by the MOT and afterwards the beams are directed towards the SLM2, after being recorded by the C2 camera first. Finally, the next layer (output layer), which consists of the SLM2 and the L7, L8 and L9 lenses, transforms the four beams into two, which are recorded by the C3 camera [ 27 , 29 , 54 ]. It is important to mention that the single-layer perceptron’s optically implement matrix multiplications.…”

Section: Architecturesmentioning

confidence: 99%

See 1 more Smart Citation

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

where

is the linear susceptibility and

, ε is the intra-electrical invariant of vacuum and matter, respectively.…”

Section: Nature Of Lightmentioning

confidence: 99%

Section: Architecturesmentioning

confidence: 99%

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

show abstract

“…However, when the intensity of radiation is high, as it happens with laser, for example, and in particular with focused-beam laser of great power, it has been proved experimentally that the optic response of matter and the optical parameters are modified, often significantly, and become dependent on the intensity of the radiation [28]. It is then that various extremely interesting phenomena take place, which are not detected in the case of low intensity impacting radiation [29]. These phenomena cannot be interpreted considering the linear response of matter, as it is expressed in the fundamental linear relation between the cause, i.e.…”

Section: Nature Of Lightmentioning

confidence: 99%

“…Through the L4, L5 lens system the non-linearity is introduced by the MOT and afterwards the beams are directed towards the SLM2, after being recorded by the C2 camera first. Finally, the next layer (output layer), which consists of the SLM2 and the L7, L8, L9 lenses, transforms the four beams into two, which are recorded by the C3 camera [27], [29].…”

Section: Perceptronmentioning

confidence: 99%

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

“…They combined these emitters or several groups of emitters into one fibre to increase the total output. In the system they were mentioned, a type of stack which was consisted of several laser bars can reach outputs of 50-400 W. Then, the combined laser power beam of these laser bar stacks can realise the output power in kilowatts (Kleine and Balu, 2017). Meanwhile, Lucas-Leclin et al discussed the coherent beam combining technology.…”

Section: Laser Emittermentioning

confidence: 99%

Laser Power Transmission and Its Application in Laser-Powered Electrical Motor Drive: A Review

Liu

Zhang

et al. 2021

Power Electronics and Drives

View full text Add to dashboard Cite

Laser power transmission (LPT) is considered a potentially efficient way for power delivery, especially in long-distance wireless applications and harsh hazardous environmental conditions. In contrast to other wireless power transmission (WPT) methods, LPT has many advantages such as lower device size, focused transmitting direction and high power density. With the development of technology, LPT has been widely adopted in several fields. In conservative industries, the utilisation of LPT can resolve the limitation problem in a wired connection. The adverse influence of electromagnetic interference (EMI) concerning application and high-temperature fields can be reduced. This paper will give a simple review of LPT and demonstrate the basic concept of a photoelectric emitter, transmission channel and receiver material. Based on the recent research about diode laser beam combining technology and high-efficiency multi-junction photovoltaics (PV) materials, the advised LPT devices for simple application as laser power motor will be simply discussed.

show abstract

High-power diode laser sources for materials processing

Cited by 6 publications

References 1 publication

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

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

A Comprehensive Survey on Nanophotonics Neural Networks

Laser Power Transmission and Its Application in Laser-Powered Electrical Motor Drive: A Review

Contact Info

Product

Resources

About