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  6. Comprehensive data analysis platform for materials informatics

Comprehensive data analysis platform for materials informatics

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last updated:Apr 11, 2023

ウェーブフロント 本社
ウェーブフロント 本社
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Just connect over 3000 parts! Ideal for narrowing down candidates during new material development.

PipelinePilot is software that allows you to perform all tasks related to data analysis, including data preprocessing, analysis, and visualization such as graph creation, all within a single product. It can be used for narrowing down candidates during new material development and for discovering correlations in complex and non-obvious data. 【Features】 ◆ Easily create data processing flows without programming knowledge ◆ Simplifies data preprocessing, which can be a bottleneck when handling large-scale data ◆ Many successful implementations in chemical and drug discovery companies *For more details, please contact us or download the PDF to view.

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Comprehensive data analysis platform for materials informatics

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basic information

The analysis section supports a wide range of methods from standard statistical analysis to machine learning and deep learning, and it includes a standard feature for "fingerprinting that quantifies chemical formulas," which is necessary when conducting the increasingly popular field of materials informatics. *For more details, please contact us or download the PDF to view it.

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Material manufacturers, manufacturing industries engaged in material development, and related manufacturers in semiconductors and surface treatment.

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Modular application development tool (data science tool) 'PipelinePilot'

Modular application development tool (data science tool) 'PipelinePilot'

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Data Analysis Comprehensive Platform (Data Science Tool) 'PipelinePilot'

Data Analysis Comprehensive Platform (Data Science Tool) 'PipelinePilot'

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ウェーブフロント

ウェーブフロント 本社

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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.

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