Published are 'Calculations of Metal Transport Properties' and simulations to determine the Glass Transition Temperature!
In this document, we introduce case studies of "Pipeline Pilot." We include topics such as "calculation of metal transport properties," "simulation to determine glass transition temperature," and "organization and clustering of analytical data." Pipeline Pilot is a tool that enables large-scale data processing and analysis, automation of tasks, and visualization of workflows. [Contents (excerpt)] ■ Calculation of metal transport properties ■ Simulation to determine glass transition temperature ■ Simulation to determine mechanical properties ■ Organization and clustering of analytical data ■ Display and organization of a large number of plate images *For more details, please refer to the PDF document or feel free to contact us.
Inquire About This Product
basic information
【Contents (Excerpt)】 ■ Image segmentation ■ Detection of surface defects in machine parts through image processing ■ Data classification and model evaluation using tree models ■ Improvement of chemical components using Pareto optimization ■ Clustering of molecules using dimensionality reduction ■ Calculation of correlation matrices and heat maps *For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
catalog（6）
Download All Catalogs![[Information] Introduction of analysis examples using "Pipeline Pilot"](https://image.www.ipros.com/public/catalog/image/01/013/507976/IPROS19729677468372948884.jpeg?w=120&h=170)
![[Case Study] Ideal for Lithium-Ion Battery Material Development - Free Case Study Available for 'Materials Studio'!](https://image.www.ipros.com/public/catalog/image/01/853/582890/IPROS44299245369553055023.jpeg?w=120&h=170)
News about this product（8）
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 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.