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『BIOVIA Materials Studio』×『MACE』

With the machine learning potential 'MACE' that is gaining attention in the field of materials development, we are taking material simulations to the next stage.

BIOVIA Materials Studio is a materials simulation software that can predict and analyze the structure, properties, and behavior of materials at the molecular and atomic level. It supports various analytical methods, including quantum mechanical calculations and molecular dynamics simulations, allowing users to perform everything from model creation to computation and visualization/analysis of results within a single environment. Additionally, it is compatible with the machine learning potential "MACE," which has been gaining attention in recent years. By combining Materials Studio Forcite with MACE, it is expected to enable high-precision simulations of materials on a larger scale and over longer durations. **Features** - Supports the notable machine learning potential "MACE" - Accommodates a wide range of simulations necessary for materials development - Usable across a broad spectrum of materials and research fields - Aids in the efficiency of materials development - Executes analyses within a single GUI environment *For more details, please download the PDF or feel free to contact us.*

Related Link - https://www.wavefront.co.jp/CAE/BIOVIA/cmn-materia…

basic information

【Target】 ■ Material manufacturers, material suppliers, chemical manufacturers, battery manufacturers, semiconductor manufacturers, electronic materials manufacturers, automotive and transportation equipment manufacturers, metal and non-ferrous metal manufacturers, universities, research institutions, material development/research and development departments, CAE and simulation personnel, companies that want to incorporate simulation into material development. *For more details, please download the PDF or feel free to contact us.

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Delivery Time

Applications/Examples of results

【Applications】 ■ Development and design of new materials ■ Predicting the "properties" of materials on a computer ■ Simulating "how atoms and molecules move" in materials ■ Narrowing down promising materials from multiple candidates ■ Evaluating material properties before conducting experiments ■ Research on materials such as batteries, semiconductors, metals, polymers, and catalysts ■ High-precision and high-efficiency material simulations utilizing MACE *For more details, please download the PDF or feel free to contact us.

BIOVIA Materials Studio" × Machine Learning Potential "MACE

PRODUCT

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