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

ウェーブフロント本社

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! ♪ ★

Date and time
Capital
Entry fee

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/
Software "Materials Studio" for new material development
Materials development simulation software compatible with various types of materials: '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.
Analysis of high-performance materials with 'Materials Studio'
Analysis simulation of high-performance materials, as well as material development simulation software compatible with various types of materials.

【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.
Analysis of CFRP (carbon fiber) and others using 'Materials Studio'
Dissolution analysis simulation of CFRP (carbon fiber) and various types of material development simulation software.

【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.
Analysis of mixed polymers using 'Materials Studio'
Simulation of dissolution analysis of polymers and other materials, along with material development simulation software compatible with various types of materials.

【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.
First-principles calculations are done using 'Materials Studio'.
Material development simulation software adapted for materials informatics, first-principles calculations, quantum mechanics, classical mechanics, and mesoscale analysis.

【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 　　　etc. *For more details, please refer to the catalog or feel free to contact us.
Materials development analysis software 'Materials Studio'
Materials development simulation software for analysis in quantum mechanics, classical mechanics, and mesoscale, adapted for materials informatics.

【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 etc. *For more details, please refer to the catalog or feel free to contact us.
Materials development analysis software 'Materials Studio'
Material development simulation software compatible with various types of materials, supporting analysis in quantum mechanics, classical mechanics, and mesoscale.

【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 　　　etc. *For more details, please refer to the catalog or feel free to contact us.
Materials Studio for Tribochemical Analysis
Simulation of tribochemical (lubrication) reactions: Initially, a material development simulation software that accommodates various types of materials.

【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.
PipelinePilot for materials informatics tools
A 'super tool' that enables effective utilization of various big data, allowing 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 includes a standard feature for "fingerprinting that quantifies chemical formulas," which is necessary for conducting materials informatics that has gained attention in recent years. *For more details, please contact us.*
[Video Example] Introduction to Pipeline Pilot Features and Analysis Case Studies
A powerful tool essential for massive data processing and complex analysis.

- Why Pipeline Pilot is necessary - Features and characteristics of Pipeline Pilot - Examples of analysis using machine learning with Pipeline Pilot *If you have any questions or uncertainties, please feel free to contact us.*
Case study on multi-purpose variable problems in Pipeline Pilot.
Introduction of case studies on multi-objective variable problems using Pipeline Pilot.

【Other Published Content】 ■Determine the range of explanatory variables ■Advantages of determining the possible range of variables (summary) ■Features of Pipeline Pilot *For more details, please refer to the PDF document or feel free to contact us.
[Information] Introduction of analysis examples using "Pipeline Pilot"
Published are calculations of metal transport properties, as well as simulations to determine glass transition temperature!

【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.
A powerful tool for implementing Bayesian optimization: 'Pipeline Pilot'
The ultimate tool that enables effective utilization of various data, capable of implementing machine learning and easily performing Bayesian optimization.

It is a powerful software that aggregates data such as text, images, molecular structures, and databases, enabling effective utilization of various data by leveraging machine learning and statistical analysis. It also has integration features with Python and R, allowing for efficient execution of the recently highlighted Bayesian optimization. *For more details, please contact us.*
PipelinePilot for machine learning tools
A 'powerful tool' that enables effective utilization of various big data, allowing 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 for conducting materials informatics that has gained attention in recent years. *For more details, please contact us.*
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.*
Tool for Materials Informatics: PipelinePilot
Just connect over 3000 parts! Ideal for narrowing down candidates during new material development. With machine learning capabilities, it's effective for a wide variety of business improvements!

The analysis section supports a wide range of methods, from standard statistical analysis to machine learning and deep learning, and includes a standard feature for "fingerprinting that quantifies chemical formulas," which is necessary when conducting materials informatics, a field that has gained attention in recent years. *For more details, please contact us.*
Analyze experimental results and utilize them with machine learning 'PipelinePilot'
Just connect over 3000 parts! Ideal for narrowing down candidates during new material development. With machine learning capabilities, it's effective for a wide variety of business improvements!

The analysis section supports a wide range of methods, from standard statistical analysis to machine learning and deep learning, and 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.*