Photochargeable material screening system and operation method thereof

Abstract

The invention discloses a photochargeable material screening system and an operation method thereof. The photochargeable material screening system comprises a literature data acquisition module, a chemical formula extraction module, an unsupervised machine learning module, a visual operation module and a characteristic simulation module. The input end of the chemical formula extraction module and the input end of the unsupervised machine learning module are both connected with the literature data acquisition module; the output ends are connected with the visual operation module, and the visual operation module is connected with the characteristic simulation module. According to the method, a two-layer neural network word vector algorithm of unsupervised machine learning and chemical formula extraction by ChemDataExtractor are effectively combined, the relevance among the chemical formula, the related attributes and the photo-chargeable attributes is established, the relevance degree is represented, photo-chargeable materials are screened, the manual labeling step is omitted, the document data processing efficiency is improved, and the material screening accuracy reaches 90%.

Description

technical field

[0001] The invention belongs to the field of new material screening, and in particular relates to a photochargeable material screening system and an operating method thereof. Background technique

[0002] The photorechargeable battery material is a material that has both solar charging and energy storage and discharging functions, which can greatly reduce the volume and simplify the structure of the photovoltaic battery system as a clean energy source. However, the currently known photochargeable materials are limited, and there are a large number of possible photochargeable materials and their related properties hidden in the past literature. Therefore, it is of great significance to screen new photochargeable materials through literature collection and processing. .

[0003] CN106599385A discloses an intelligent design system and method for a new material synthesis process. The system includes a document data acquisition module, a document data processing ...

Examples

Embodiment 1

[0028] Such as figure 1 As shown, a photorechargeable material screening system includes a literature data collection module, a chemical formula extraction module, an unsupervised machine learning module, a visual operation module, and a characteristic simulation module. The input terminals of the chemical formula extraction module and the unsupervised machine learning module are connected to The output terminals are all connected to the visualization operation module, and the visualization operation module is connected to the light absorption characteristic simulation module; the literature data collection module collects and preprocesses the literature data; the chemical formula extraction module separates the chemical formula Screening and concentration; the unsupervised machine learning module generates word vectors and adjusts word vectors according to the context; the visualization operation module represents the correlation between chemical formulas and properties; the c...

technical field

[0001] The invention belongs to the field of new material screening, and in particular relates to a photochargeable material screening system and an operating method thereof. Background technique

[0002] The photorechargeable battery material is a material that has both solar charging and energy storage and discharging functions, which can greatly reduce the volume and simplify the structure of the photovoltaic battery system as a clean energy source. However, the currently known photochargeable materials are limited, and there are a large number of possible photochargeable materials and their related properties hidden in the past literature. Therefore, it is of great significance to screen new photochargeable materials through literature collection and processing. .

[0003] CN106599385A discloses an intelligent design system and method for a new material synthesis process. The system includes a document data acquisition module, a document data processing ...

Examples

Embodiment 1

[0028] Such as figure 1 As shown, a photorechargeable material screening system includes a literature data collection module, a chemical formula extraction module, an unsupervised machine learning module, a visual operation module, and a characteristic simulation module. The input terminals of the chemical formula extraction module and the unsupervised machine learning module are connected to The output terminals are all connected to the visualization operation module, and the visualization operation module is connected to the light absorption characteristic simulation module; the literature data collection module collects and preprocesses the literature data; the chemical formula extraction module separates the chemical formula Screening and concentration; the unsupervised machine learning module generates word vectors and adjusts word vectors according to the context; the visualization operation module represents the correlation between chemical formulas and properties; the c...

Images