Generate machine learning data from CAE analysis models! Software that allows easy execution of computational results in plasma analysis.
"Particle-PLUS/DL" is a CAE surrogate model software that addresses the challenges of traditional plasma simulations. It merges deep learning, which is gaining attention as the "fourth science," with CAE. It enables parametric studies through high-speed calculations, making it promising for initial investigations in plasma analysis. Additionally, it can generate training data for machine learning from CAE analysis models, allowing for analysis even without a large amount of experimental data. 【Features】 ■ Results can be confirmed in a few seconds ■ Simple and easy-to-understand GUI ■ Plasma analysis is possible even without a large amount of experimental values ■ Non-divergent ■ Compatible with Windows 10 machines *For more details, please refer to the PDF document or feel free to contact us.
Inquire About This Product
basic information
【Recommended for】 ■ Manufacturers of semiconductor-related equipment ■ Those interested in plasma analysis ■ Those interested in CAE surrogate model software *For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
【Purpose】 ■ You can immediately view the results of initial considerations in plasma analysis. ■ Analysis can be conducted without specialized knowledge in simulation analysis. *For more details, please refer to the PDF document or feel free to contact us.
catalog（3）
Download All Catalogs
![[Data] Plasma analysis surrogate model software using deep learning 'Particle-PLUS/DL'](https://image.mono.ipros.com/public/catalog/image/01/424/592302/IPROS33441351480957202662.jpeg?w=120&h=170)
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.
![[Technical Column] Flow Analysis of Rubber Materials Using OpenFOAM](https://image.mono.ipros.com/public/product/image/594/2000718718/IPROS85102376460155388988.png?w=280&h=280)
![[Other Materials] Free: Methods to Eliminate Tacit Knowledge and Personalization in Manufacturing Engineers](https://image.mono.ipros.com/public/product/image/46a/2001117377/IPROS92601354421224553025.jpeg?w=280&h=280)
