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Structural exploration of new organic semiconductor materials using MI.

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Structural exploration of new organic semiconductor materials using MI.

構造探索の流れ.png
構造探索の流れ.png Marcus理論における電荷移動反応.png 教師データ1.png 教師データ2.png

It is possible to efficiently propose candidates for new materials using a data-driven approach.

Even when limited to organic materials, the combinations of possible compound structures are vast, and many new materials that exceed conventional properties remain in an unknown state. The exploration of new materials with effective properties from such a vast array of combinations is well-suited to approaches using machine learning. This document introduces examples of utilizing informatics from the setting of challenges to their achievement. By customizing compound datasets and the desired properties to fit the customer's challenges, it is possible to conduct compound exploration using informatics with a similar approach.

basic information

For detailed data, please refer to the catalog.

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Applications/Examples of results

Analysis of solar cells, lighting, displays, pharmaceuticals, cosmetics, daily necessities, and others (organic semiconductors).

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[Analysis Case] Structural Exploration of Novel Organic Semiconductor Materials Using Materials Informatics (MI) C0652

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MST is a foundation that provides contract analysis services. We possess various analytical instruments such as TEM, SIMS, and XRD to meet your analysis needs. Our knowledgeable sales representatives will propose appropriate analysis plans. We are also available for consultations at your company, of course. We have obtained ISO 9001 and ISO 27001 certifications. Please feel free to consult us for product development, identifying causes of defects, and patent investigations! MST will guide you to solutions for your "troubles"!

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