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The use of AI in material exploration is becoming a global standard, yet there are still many cases where its implementation is slow due to reasons such as "difficult to operate" and "lack of data science personnel." Schrödinger has made a webinar video (with Japanese subtitles) available for free to address these challenges. You can watch it immediately after registering through the form. ▼ You can watch it right away by registering through the form below ▼ https://info.schrodinger.com/ms-psb-01-submit-form Alternatively, you can register by clicking the "Details and Registration for this News" button below. In the video, we demonstrate how to use Schrödinger's simulation platform for materials development, the 'Materials Science Suite,' to execute advanced property predictions and machine learning-based experimental designs (ML-based DoE) without specialized knowledge. We will introduce practical examples that are directly related to work, such as approaches to derive "the next experiment to conduct" from small data sets, viscosity predictions of binary liquid mixtures, and optimization of complex multi-component formulations. First, experience the acceleration of research and development through the use of AI in the video.