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"miHub" is a software (SaaS) that can be actively utilized by research and development personnel who have no experience with MI, broadening the scope of MI. It is an experimental planning platform that enables advanced data analysis and the accumulation of research knowledge through MI. With intuitive operation and collaboration features that allow for the recording of decision-making processes, it enhances research and development capabilities at the organizational level. In the multidimensional and complex field of material development, which has previously relied on intuition and experience for trial and error, it enables the efficient design of optimal compositions and process conditions. Data scientists and customer success representatives who are well-versed in MI provide ongoing support to ensure the successful utilization of MI. Currently, it is being actively and effectively used by users with no prior MI experience due to its high usability. It is applied in many research and development settings as it supports the optimization of experimental and formulation conditions. Additionally, there are already many successful use cases, and several companies have positioned miHub at the center of their MI initiatives, achieving significant advancements. *For more details, please download the materials or contact us.*
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Free membership registrationThis article introduces the basics of materials informatics, including representative examples of technology, history, and trends. Materials informatics is an initiative that fully utilizes information processing technology to accelerate materials development. By applying advanced data science techniques to materials development, effects such as "inverse design of materials from desired properties" and "reduction of experimental time, number of trials, and costs" can be expected. [Contents (Excerpt)] ■ What is materials informatics? - Representative examples of materials informatics technology ■ History of materials informatics - The beginnings of materials informatics - The expansion of materials informatics - Materials informatics in Japan *Detailed content can be viewed through related links. For more information, please feel free to contact us.
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Free membership registrationWe will introduce the current state of software (SaaS) utilization in Materials Informatics (MI) and the benefits of MI-specific SaaS. The reasons for the slow adoption of MI-specific SaaS are twofold: first, the interdisciplinary nature of data science, software development, and materials science makes it challenging, and there are few players who can provide it appropriately; second, the benefits of SaaS are not sufficiently communicated to companies considering implementation. In this article, we will elaborate on the latter, specifically the benefits of MI-specific SaaS. [Contents] ■ Benefits of MI-specific SaaS - Expands the reach of MI utilization - Can flexibly respond to changes in project direction *For more details, please refer to the related links. Feel free to contact us for more information.
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Free membership registrationThere is an increasing number of companies, particularly in the materials and chemical manufacturing sectors, that consider materials informatics (MI) an important theme in their growth strategies. However, many materials developers may hesitate to implement MI in their companies because they cannot envision the actual analysis process they want to utilize. In this article, we will introduce various literature focused on five representative types of MI technology, aiming to help you imagine how to apply them in actual materials development. [Contents] ■ Specific analysis processes for materials development utilizing MI ■ Five MI technologies that create value ■ 1. Efficient exploration of multidimensional spaces ■ 2. Inverse analysis from desired results ■ Insights beneficial for research and development ■ References *For detailed information, please refer to the related links. Feel free to contact us for more information.
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Free membership registrationIn promoting Materials Informatics (MI), many materials developers may aspire to become data scientists. In this article, we will explain the first steps for materials developers to become data scientists, including "what can be done" and "what skills should be acquired." [Contents (excerpt)] ■ What can be done with MI Concept of MI / Basic types of MI ■ Skill set required for data scientists in MI Overall design / Data understanding and organization / Feature creation / Prediction model creation & validation / Action proposals using prediction models ■ Conclusion *For detailed content, please refer to the related links. For more information, feel free to contact us.
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Free membership registration"Hands-on MI" is an MI analysis service capable of handling complex analyses, including computational science, the utilization of external databases, and the generation of new features. You can deepen your understanding of how to utilize accumulated data based on your own research theme. By utilizing this product, it not only contributes to the results of R&D but also leads to educational effects for the personnel involved in MI and motivation for data-driven R&D. 【Features】 ■ Customized MI analysis services tailored to each research theme ■ Deepen your understanding of how to utilize accumulated data based on your own research theme ■ Capable of handling complex analyses, including computational science, the utilization of external databases, and the generation of new features *For more details, please refer to the PDF materials or feel free to contact us.
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