Optimization of the parameters affecting the shape and position of crystal–melt interface in YAG single crystal growth

Asadian, M.; Seyedein, S.H.; Aboutalebi, M.R.; Maroosi, Ali

doi:10.1016/j.jcrysgro.2008.10.045

Cited by 24 publications

(17 citation statements)

References 20 publications

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“…Another optimization method sometimes encountered in this context, are Genetic Algorithms (GAs). Due to their popularity in various scientific fields in or adjacent to the material science [5,18,19], they will be shortly described.…”

Section: Of 17mentioning

confidence: 99%

“…Still the studies are rare [18,[23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Only part of them were devoted to the crystal growth of semiconductors and oxides [18,[26][27][28][29][30][31][32][33]36,37]. Up to now, there have been two main research topics: optimization of the crystal growth process parameters and crystal growth process control by static and dynamic ANNs, respectively.…”

Section: Ai Applications In Crystal Growth: State Of the Artmentioning

confidence: 99%

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Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

Dropka

Holeňa

2020

Crystals

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In this review, we summarize the results concerning the application of artificial neural networks (ANNs) in the crystal growth of electronic and opto-electronic materials. The main reason for using ANNs is to detect the patterns and relationships in non-linear static and dynamic data sets which are common in crystal growth processes, all in a real time. The fast forecasting is particularly important for the process control, since common numerical simulations are slow and in situ measurements of key process parameters are not feasible. This important machine learning approach thus makes it possible to determine optimized parameters for high-quality up-scaled crystals in real time.

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Section: Of 17mentioning

confidence: 99%

Section: Ai Applications In Crystal Growth: State Of the Artmentioning

confidence: 99%

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

Dropka

Holeňa

2020

Crystals

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“…The former mainly includes four types of materials: glasses, transparent crystals, transparent ceramics, and transparent glass‐ceramics . Among them, transparent crystals and transparent ceramics, including YAlO 3 (YAP), Gd 2 SiO 5 (GSO), Gd 3 Ga 5 O 12 (GGG), Y 3 Al 5 O 12 (YAG), and Al 2 O 3 ‐Si 3 N 4 , are used in solid‐state lasers, nuclear imaging tomographic scanners, nuclear imaging system, etc . However, some technical obstacles in their preparation process limit the wide application of glasses, transparent ceramics, and transparent crystals, such as rigorous preparation conditions, high equipment requirements (accuracy and size), composition uniformity, and functional component content, etc.…”

Section: Introductionmentioning

confidence: 99%

A novel Nd³⁺‐doped MgO‐Al₂O₃‐SiO₂‐based transparent glass‐ceramics: Toward excellent fluorescence properties

Han

Lin

et al. 2019

J Am Ceram Soc

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Generally, glass-ceramics have superior properties compared to their parent glasses. Here, we prepared a novel Nd 3+ -doped MgO-Al 2 O 3 -SiO 2 -based transparent glass-ceramics with excellent fluorescence properties. The effects of Nd 2 O 3 content on the structure and properties of glass-ceramics were studied, aiming to provide a key guidance for preparing this transparent glass-ceramics. The results revealed that the glass stability increased originally and then decreased with increasing Nd 2 O 3 content, so did the variation of wavenumbers in infrared spectra. And these glass-ceramics are mainly composed of cordierite with residual glassy phase. The three phenomenological intensity parameters (Ω 2,4,6 ) and radiative properties were estimated by Judd-Ofelt theory, and the values of Ω 2 first decreased and then increased with increasing Nd 2 O 3 content. Three main emission peaks ascribed to the transitions from 4 F 3/2 to 4 I 9/2 , 4 I 11/2 , 4 I 13/2 at 898, 1057, 1330 nm were observed, respectively. The branching ratios for 4 F 3/2 → 4 I 11/2 transition increased as the Nd 2 O 3 content raised, and the fluorescence lifetimes of the 4 F 3/2 level were found to increase first and then decrease with Nd 2 O 3 content (from 181 to 726 μs). The excellent fluorescence properties indicate that this novel glass-ceramics can be used as a potential solid-state optical functional material for 1.06 μm laser emission. K E Y W O R D SJudd-Ofelt theory, MgO-Al 2 O 3 -SiO 2 , Nd 3+ -doped, solid-state optical functional materials, transparent glass-ceramics

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“…In principle, one can suggest a good deal of relations of this kind, depending on requirements to the growth system. It is known, however, that no physically valid algorithms for construction of these relations have been published so far, although the problem of the optimal control of the phase interface has been recently considered [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…It is noteworthy that, only in Ref. [1], the problem was treated as time-dependent, and just one paper [2] was devoted to the oxide growth. However, in the latter case, the crystal was assumed to be opaque, e.g., the internal radiation was neglected.…”

Section: Introductionmentioning

confidence: 99%

Control of multi-zone resistive heater in low temperature gradient BGO Czochralski growth with a weighing feedback, based on the global dynamic heat transfer model

Mamedov

Vasiliev

Yuferev

et al. 2010

Journal of Crystal Growth

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Optimization of the parameters affecting the shape and position of crystal–melt interface in YAG single crystal growth

Cited by 24 publications

References 20 publications

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

A novel Nd³⁺‐doped MgO‐Al₂O₃‐SiO₂‐based transparent glass‐ceramics: Toward excellent fluorescence properties

Control of multi-zone resistive heater in low temperature gradient BGO Czochralski growth with a weighing feedback, based on the global dynamic heat transfer model

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Optimization of the parameters affecting the shape and position of crystal–melt interface in YAG single crystal growth

Cited by 24 publications

References 20 publications

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

A novel Nd3+‐doped MgO‐Al2O3‐SiO2‐based transparent glass‐ceramics: Toward excellent fluorescence properties

Control of multi-zone resistive heater in low temperature gradient BGO Czochralski growth with a weighing feedback, based on the global dynamic heat transfer model

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A novel Nd³⁺‐doped MgO‐Al₂O₃‐SiO₂‐based transparent glass‐ceramics: Toward excellent fluorescence properties