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Crystal growth prediction method and device

A technology of crystal growth and prediction methods, applied in neural learning methods, biological neural network models, chemical machine learning, etc., can solve problems such as large amount of calculation, long time consumption, and inability to perform online prediction

Pending Publication Date: 2020-04-17
SICC CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a crystal growth prediction method and device to solve the problems of the existing prediction methods, which have a large amount of calculation, take a long time, and cannot perform online prediction

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  • Crystal growth prediction method and device
  • Crystal growth prediction method and device

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0032] figure 1 The flow chart of the crystal growth prediction method provided in the embodiment of this application specifically includes the following steps:

[0033] S101: Obtain several thermal field maps of crystal growth to be predicted.

[0034] In the embodiment of this application, when the server predicts crystal growth, it can obtain sev...

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Abstract

The invention discloses a crystal growth prediction method and device, and is used for solving the problems that an existing prediction method is large in calculation amount, long in consumed time, and incapable of online prediction. The method comprises the following steps: acquiring a plurality of to-be-predicted crystal growth thermal field graphs; according to a pre-trained convolutional neural network model, extracting picture features of the to-be-predicted thermal field picture; according to the extracted picture features and a pre-trained long-term and short-term memory network model,predicting the picture features of a thermal field graph of crystal growth after a preset time; and obtaining one or more items selected from thermal field distribution data of crystal growth, crystalshape change data and crystal stress distribution data according to the picture characteristics of the thermal field diagram of crystal growth after the preset time period. According to the method, crystal growth prediction can be realized in a short time, and online prediction is realized.

Description

technical field [0001] The present application relates to the technical field of crystal growth, in particular to a crystal growth prediction method and device. Background technique [0002] Silicon carbide crystal has the advantages of high thermal conductivity, high critical breakdown electric field, low dielectric constant, and good chemical stability. It is considered to be an ideal semiconductor material for manufacturing optoelectronic devices and high-frequency and high-power devices. It is widely used in screen display , aerospace, high temperature radiation environment, oil exploration, automation, etc. [0003] Currently, crystal growth methods include physical vapor transport (Physical Vapor Transport, PVT), chemical vapor deposition (Chemical Vapor Deposition, CVD), solution growth, and the like. Taking the PVT used in the growth of silicon carbide crystals as an example, the temperature required for the growth of silicon carbide crystals is usually as high as s...

Claims

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Application Information

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IPC IPC(8): G16C20/10G16C20/70G06N3/04G06N3/08
CPCG16C20/10G16C20/70G06N3/08G06N3/044G06N3/045
Inventor 舒天宇王雅儒赵爱梅刘圆圆潘亚妮
Owner SICC CO LTD
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