AI Material Exploration Video | Property Prediction and Experimental Planning

Free viewing now available | Practical demo video on streamlining property prediction and experimental planning with AI

The use of AI in materials exploration is becoming a global standard; however, there are still many cases where implementation is not progressing 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 In the video, we demonstrate how to perform advanced property predictions and machine learning-based experimental design (ML-based DoE) using Schrödinger's materials development simulation platform, 'Materials Science Suite,' even without specialized knowledge. We will introduce practical examples, such as approaches to derive "the next experiment to conduct" from small data sets, viscosity predictions of binary mixtures, and optimization of complex multi-component formulations. First, experience the acceleration of research and development through the use of AI in the video.

simulatorStructural AnalysisStress Analysis