[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).

ウェーブフロント本社

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!♪★

Date and time Wednesday, Jul 07, 2021
01:15 PM ～ 01:45 PM
Capital Implementation online
Entry fee Free

Related product information

Materials development simulation "Materials Studio"
Effective materials development simulation software for "Materials Informatics" - 'Materials Studio'

【Tools】 ■ Quantum Mechanics Simulation Tool ■ Classical Simulation Tool ■ Mesoscale Simulation Tool ■ Statistical Tool ■ Analysis/Crystallization Tool 【Examples】・Crystal Growth ・Behavior of Atoms on Crystal Surfaces ・Crystal Analysis ・Calculation of Physical Properties ・Sputtering Simulation ・Improvement of Lubricant Performance ・Catalysts ・Tribochemical (Lubrication) Reactions 　　　etc. *For more details, please feel free to contact us. Wavefront Inc. Sales Department MAIL: sales@wavefront.co.jp URL: http://www.wavefront.co.jp/
Tool for Materials Informatics: PipelinePilot
A 'powerful tool' that enables effective utilization of various big data, allowing for implementation of machine learning and more, regardless of programming skills.

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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