In the design of materials, it is necessary to consider the effects at each scale, from molecular structure to the filler and phase separation structure including fibers. JSOL provides software and technical support services that support multi-scale material simulation. We also provide MI solutions in collaboration with NTT DATA Corporation, and will introduce functions and technologies for MI.
J-OCTA
J-OCTA is a material property analysis software that predicts material properties from atomic scale to micrometer scale on a computer when developing a wide range of materials such as rubber, plastics, thin films, buttery and bio-materials. It can be used as a knowledge discovery tool to understand complicated phenomena and physical properties which could not be grasped only by experiment results.
Materials Informatics solutions
Digimat
Digimat predicts the material properties of composite materials based on the material properties and microstructure of the matrix and inclusion.
Digimat also includes an interface to perform structural analysis using the predicted material properties, taking into account the distribution of material properties caused by the molding process.
JSOL Corporation
Engineering Technology Division, Materials Science Department
Mr. Tatsuro Kikui
【Profile】
He has been responsible for marketing of J-OCTA. He did experimental research about properties of polymeric materials in Rikkyo University. He has experience in many discussions with industrial companies mainly in Japan.
【Abstract】
Simulation plays an important role in Materials Informatics (MI), and its role is expanding compared to the mechanism analysis that has been used in the past. This presentation will focus on the multi-scale simulation software "J-OCTA", and introduce its functions and technologies for MI, taking into account the background of the industries and domains in which it is used. For example, high-throughput computation technology that automatically executes modeling and simulation and accumulates physical property data, quantitative structure-property relationship (QSPR) that performs machine learning after obtaining various molecular descriptors, and inverse analysis, etc. In this presentation, we will discuss the position and use of simulation in the overall MI system.
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JSOL