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  6. Analysis of high-performance materials with 'Materials Studio'

Analysis of high-performance materials with 'Materials Studio'

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『Materials Studio』

last updated:Apr 19, 2021

ウェーブフロント 本社
ウェーブフロント 本社
  • Official site

Analysis simulation of high-performance materials, as well as material development simulation software compatible with various types of materials.

"Materials Studio" A suite of molecular modeling/simulation tools for next-generation materials development equipped with quantum mechanics (density functional theory), classical mechanics (molecular dynamics calculations), mesoscale (dissipative particle dynamics calculations, etc.), statistics, and analysis/crystallization tools. 【Features】 ■ Simulation software that streamlines materials development Available for use by those engaged in research, development, design, and manufacturing across various industries and fields. ■ Supports various types of materials ■ All tasks, including crystal structure creation, calculation condition settings, and calculation result display, can be performed on a single GUI screen. 【Examples】 Tribochemical (lubrication) reactions Analysis of CFRP (carbon-based materials) Research and development of crystal growth, thin film formation, fuel cells, lubricants, etc. Catalysts, polymers and mixtures, metals and alloys, batteries and fuel cells, etc. *For more details, please feel free to contact us.

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cfrp.jpg

Analysis of high-performance materials with 'Materials Studio'

cfrp.jpg
cfrp.jpg
  • Related Link - https://www.wavefront.co.jp/CAE/BIOVIA/Materials%2…

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【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 and more *For more details, please feel free to contact us.

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  • マテスタ_掲載用画像.png

    Materials Studio provides a graphical user environment called Materials Studio Visualizer, which can be used to create, manipulate, and display models of molecules, crystals, surfaces, polymers, and mesoscale structures.

  • 図1.jpg

    Multiscale Simulation of Materials 'Materials Studio' is a comprehensive modeling/simulation platform equipped with: - Quantum mechanics (Density Functional Theory) - Classical mechanics (Molecular Dynamics Calculations) - Mesoscale (Dissipative Particle Dynamics Calculations, etc.) along with statistical, analytical, and crystallization tools.

  • oil_droplet_in_water_shear.gif

    ◆Diffusion of Oil in Water◆ This shows the calculation results of the diffusion of oil in water using dissipative particle dynamics. The dark reddish-brown mass at the center of the video is the oil. The green dots surrounding the oil are water molecules. In this calculation, four water molecules and one oil molecule are treated as a single bead (point particle) to speed up the computation time. ◇Used Modules Vizualizer, Mesocite

  • polybutadiene_methane_small.gif

    ◆Methane Diffusion in Polybutadiene Using Molecular Dynamics◆ Atomic distances and molecular angles can be easily determined using the Amorphous Cell with a force field employed in molecular dynamics, ensuring that atomic distances are not too close. For the polymer polybutadiene, it is also possible to obtain complex atomic arrangements based on force field calculations while considering density. ◇Used Modules Visualizer, Amorphous Cell, Forcite Plus, COMPASS

  • Silan_Coupling_on_CeO2.gif

    ◆Behavior of Silane Coupling on CeO2(110) Surface◆ This is the result of calculations on the behavior of silane coupling on the CeO2(110) surface using molecular dynamics simulations. By using the COMPASS force field, which has been rigorously validated, it is possible to accurately calculate the behavior of organic molecules. ◇Modules Used Vizualizer, Forcite Plus, COMPASS

  • 図1.png

    Simulation of tribochemical reactions A friction phenomenon involving chemical reactions of amorphous SiC using water as a lubricant Simulation of tribochemical reactions

  • ポリマー.jpg

    Image of "Dissolution Parameters of Mixed Polymers" analysis using [Forcite Plus].

  • cfrp.jpg

    Analysis image of "physical property calculation of CFRP, which is one of the composite materials, using [Forcite Plus]."

catalog(5)

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

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

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[Case Study] Ideal for Lithium-Ion Battery Material Development - Free Case Study Available for 'Materials Studio'!

[Case Study] Ideal for Lithium-Ion Battery Material Development - Free Case Study Available for 'Materials Studio'!

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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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[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 "keyword of interest" from the survey responses on the day of the seminar: [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 introduce case studies of "Machine Learning" using tools from a broad viewpoint, covering "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 on "Examples of Using Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Company news

The second installment of the online seminar that received a tremendous 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, covering "multi-objective optimization using machine learning," "data science," and "image recognition processing" in the field of 'Materials Informatics (MI)' from a broad viewpoint. ■ 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).

  • Seminar・Event

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" on 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 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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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.

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