[Example] Pipeline Pilot Prediction of Physical Properties of Organic Molecules
Pipeline Pilot
Application of Material Informatics (MI) to the Prediction of Physical Properties of Organic Molecules: Introduction of Use Cases Utilizing the "Pipeline Pilot" Tool.
Case Study of Applying Material Informatics (MI) to Predict the Properties of Organic Molecules - Utilizing the "Pipeline Pilot" tool We will introduce a case study estimating the lipophilicity and hydrophilicity of organic molecules. <Overview> - Pipeline Pilot has various functions, including data transfer, access to other software, and database construction using RestAPI. - Efficient and easy use of data significantly lowers the barrier to the introduction of material informatics. - We will present a case study utilizing Pipeline Pilot for machine learning and data collection to estimate the lipophilicity and hydrophilicity of organic molecules. Pipeline Pilot supports a wide range of fields and is a powerful data mining tool that enables data analysis using data processing and machine learning, as well as seamless integration with other applications. 【Features】 ■ Intuitive user interface ■ Support for a wide range of fields ■ Seamless integration with other software *If you have any questions or concerns, please feel free to contact us at sales@wavefront.co.jp.
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basic information
Pipeline Pilot is a data mining tool that enables large-scale data processing and analysis, automation of tasks, and visualization of workflows. It can also be considered an ideal tool for materials informatics. 【Features】 ■ Intuitive user interface ■ Support for a wide range of fields ■ Seamless integration with other software *If you have any questions or concerns, please feel free to contact us.
Price range
P5
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Applications/Examples of results
For more details, please feel free to contact us. Wavefront Inc. Sales Department MAIL: sales@wavefront.co.jp
Detailed information
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The features of Pipeline Pilot are: - A platform for data analysis - Pipeline Pilot supports a wide range of fields, including data processing, data analysis using machine learning, and integration with other applications. - It is optimal as a tool for utilizing "materials informatics."
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Company information
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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.