Webinar: Data-driven materials innovation: where machine learning meets physics

Event Organizer: Chemistry World

Event Website: https://www.chemistryworld.com/webinars/data-driven-materials-innovation-where-machine-learning-meets-physics/4017922.article

Event Overview:

“The surge of machine learning (ML) in materials science and chemistry has been driven by advancements in deep learning methodologies. While many industrial scientists aspire to transition to a data-centric and AI-guided design paradigm, companies often deal with limited datasets and complex materials that require customised featurisation techniques. Moreover, commonly used ML techniques often grapple with issues of explainability and extrapolation into unexplored chemical spaces.

In this webinar, we demonstrate how Schrödinger’s tools can help overcome these common challenges by using a combination of physics-based simulation data, enterprise informatics, and chemistry-informed ML. We highlight how this synergistic approach can transform materials innovation across a wide-range of technology verticals.”

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