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Characteristic prediction system

A characteristic prediction and characteristic technology, applied in the fields of chemical statistics, instrumentation, chemical machine learning, etc., can solve problems such as the influence of the concentration of organic compounds on the characteristics of light-emitting devices, and the cost of optimizing light-emitting devices.

Pending Publication Date: 2022-04-12
SEMICON ENERGY LAB CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, when the light-emitting device has a stacked structure, the thickness of each stacked layer, the concentration ratio of the organic compound, etc. also affect the characteristics of the light-emitting device.
Therefore, the optimization of the structure of the light-emitting device (abbreviated as the element structure) requires a great deal of effort.

Method used

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Experimental program
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Embodiment approach 1

[0042] In this embodiment, a characteristic prediction system for predicting characteristics of a light-emitting device and a method for predicting characteristics of a light-emitting device will be described.

[0043]

[0044] refer to Figure 1A and Figure 1B A configuration example of a property prediction system will be described.

[0045] Figure 1A It is a figure which shows the structural example of the characteristic prediction system 100. The characteristic prediction system 100 includes an input unit 101 , a processing unit 102 , a calculation unit 103 , and an output unit 104 .

[0046] The input unit 101 is connected to the processing unit 102 through a transmission channel. In addition, the processing unit 102 and the computing unit 103 are connected through a transmission channel. In addition, the calculation unit 103 and the output unit 104 are connected through a transmission channel. Note that each of the input unit 101, the processing unit 102, the cal...

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PUM

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Abstract

A characteristic prediction system is provided. The characteristic prediction system includes an input unit having a function of providing a structure of a light-emitting device or a characteristic of the light-emitting device, a processing unit having a function of generating a learning data set or data for characteristic prediction and a function of numeralizing a molecular structure of an organic compound, a calculation unit, and an output unit. The calculation unit has a function of performing supervised learning based on the learning data set and a function of deriving characteristics of the light-emitting device from the data based on a learning result of the supervised learning, and the output unit has a function of providing a result of the derivation, thereby predicting characteristics of the light-emitting device including a layer including an organic compound.

Description

technical field [0001] One aspect of the present invention relates to a method of predicting characteristics of a light emitting device. Another aspect of the present invention relates to a characteristic prediction system for predicting characteristics of a light emitting device. Background technique [0002] Since a light-emitting device (also called a light-emitting element) with an EL (Electro Luminescence) layer sandwiched between a pair of electrodes has characteristics such as thinness and light weight, high-speed response to input signals, and low power consumption, the use of the above-mentioned light-emitting device The display is expected to be used as a next-generation flat panel display. [0003] A light-emitting device using an organic compound in an EL layer (also referred to as an organic EL device or an organic EL element) exhibits various characteristics by laminating various organic compounds. However, there are more than 1 million known species of organ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F30/10G06N20/00H01L51/50H05B33/12
CPCG06F30/27H05B33/12G06F30/10G06N20/00H05B33/145G16C20/30G16C20/70G06N3/08G06N3/048H10K71/70G06N3/084G06N3/04H10K50/00G06N5/04H10K50/11
Inventor 细海俊介河内峻太郎铃木邦彦
Owner SEMICON ENERGY LAB CO LTD