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  6. Tool for Materials Informatics: PipelinePilot

Tool for Materials Informatics: PipelinePilot

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last updated:Apr 21, 2021

ウェーブフロント 本社
ウェーブフロント 本社
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A 'powerful tool' that enables effective utilization of various big data, allowing for implementation of machine learning and more, regardless of programming skills.

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 data where relationships are not apparent. 【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.

    simulatorThermo-fluid analysisContract Analysis
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Tool for Materials Informatics: PipelinePilot

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キャプチャ.JPG イメージ.png イメージ1.png コンポーネント.png フロー1.png 利用シーン.png
  • Product details introduction and case studies for "Pipeline Pilot".
  • Special site - Product/service details - https://pr.mono.ipros.com/wavefront/product/

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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 also 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.*

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Applications/Examples of results

We have a proven track record of implementation in a wide variety of scenes, including material manufacturers, manufacturing industries engaged in material development, and related manufacturers in semiconductors and surface treatment.

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

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

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Materials Development Integrated Simulation Software "Materials Studio"

Materials Development Integrated Simulation Software "Materials Studio"

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Essential for material manufacturers! Electronic lab notebook 'BIOVIA Notebook'

Essential for material manufacturers! Electronic lab notebook 'BIOVIA Notebook'

TECHNICAL
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[Case Study] Ideal for Lithium-Ion Battery Material Development 'Materials Studio' *Free case study available!

[Case Study] Ideal for Lithium-Ion Battery Material Development 'Materials Studio' *Free case study available!

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Easy introduction to the electronic lab notebook 'BIOVIA Notebook'

Easy introduction to the electronic lab notebook 'BIOVIA Notebook'

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News about this product(9)

[Notice] An online seminar on "Promotion of the Introduction of Materials Informatics (MI)" for the materials development project will be held on July 7 (Thursday).

  • Seminar・Event

The highly acclaimed fourth installment of the "Materials Informatics (MI)" online seminar!! Recently, during conversations with customers, I have increasingly felt a shift within company organizations, including the establishment of IoT implementation departments and DX implementation departments, where the approach to "MI" in materials development is rapidly transitioning from "vague research" to "research for concrete initiatives." This time, as a stepping stone for promoting the introduction of "Materials Informatics (MI)" in materials development, we will introduce case studies that combine the most concerning keyword from previous surveys: "machine learning." This seminar will be a 30-minute online session that you can join from your computer or smartphone, so please feel free to participate. ★We sincerely look forward to your participation!♪★

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[Notice] We will hold an online seminar titled "Examples of Using Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Product news

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" with the theme of the most frequently mentioned "keyword of interest" from the survey responses on the seminar day: [Machine Learning]. This seminar is recommended for those who want to know specific use cases such as "What can 'Machine Learning' actually do?" and "When should I use 'Machine Learning'?" This time, we will take a slightly different perspective and present case studies of "Machine Learning" applications using tools in a broad context, including "multi-objective optimization using Machine Learning" in 'Materials Informatics (MI)', "Data Science", and "Image Recognition Processing". ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪★

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[Notice] We will hold an online seminar titled "Examples of Utilizing Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Other・notification

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" on the theme of the most frequently mentioned "machine learning" from the survey responses on the seminar day regarding "keywords of interest." This seminar is recommended for those who want to know specific use cases such as, "What can 'machine learning' actually do?" and "When should I use 'machine learning'?" This time, we will take a slightly different perspective and present case studies of "machine learning" applications using tools in a broad context, including "multi-objective optimization using machine learning" in "Materials Informatics (MI)," "data science," and "image recognition processing." ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪ ★

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[Notice] We will hold an online seminar titled "Examples of Utilizing Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Company news

The second installment of the online seminar that received a great response the other day! We will introduce case studies using "tools" with the most frequently mentioned keyword from the survey responses on the seminar day: "Machine Learning." This seminar is recommended for those who want to know specific use cases such as "What can 'Machine Learning' actually do?" and "When should I use 'Machine Learning'?" This time, we will take a slightly different perspective and present case studies of "Machine Learning" applications using tools in "Materials Informatics (MI)," including "multi-objective optimization using Machine Learning," "data science," and "image recognition processing." ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page: www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪ ★

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ウェーブフロント

ウェーブフロント 本社

software

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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 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.

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