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VIDEO

Use Cases of AI in R&D: Materials Discovery and Product Development (Materials Informatics)

Live event held on June 5, 2025

Explore how Artificial Intelligence (AI) is revolutionizing materials discovery and chemical R&D, ushering in a new era of concurrent materials design. Enthought's head of Materials Informatics (MI) and polymer scientist Michael Heiber, PhD dives into the accelerating pace of innovation in materials science and engineering, driven by advanced AI technologies and MI. This presentation was originally given at the 2025 R&D Innovation Summit in Tokyo to highlight the power of AI for industry materials discovery and product development.

Learn about:

  • The shift from traditional R&D to an AI-driven learning cycle.
  • How concurrent engineering is being transformed by the ability to design materials and products simultaneously, leading to globally optimized solutions.
  • How machine learning and AI are enabling faster material development, reducing time-to-market, and creating significant business opportunities for materials suppliers and product designers.
  • Key AI technology trends including generative AI for materials, AI-driven optimization for complex properties, and specialized large language models (LLMs) for predictive chemistry.

Speaker

 
Michael Heiber, PhD
Director, Professional Services & Customer Success, Materials Informatics Enthought Inc.

Enthought | Michael Heiber, PhD

 

Michael leads Enthought’s Materials Informatics technical team and supports customers in large-scale MI initiatives. He holds a Ph.D. in polymer science from The University of Akron and a B.S. in materials science and engineering from the University of Illinois at Urbana-Champaign with expertise in polymers for optoelectronic applications. Prior to joining Enthought, he worked as a postdoctoral researcher at several institutions, where he developed improved physical models for organic electronic devices that connect the complex materials microstructure to semiconductor device physics.



Enthought helps companies all over the world solve complex data challenges unique to enterprise scientific R&D by leveraging advanced technologies that accelerate innovation and transform the business. We bring an unparalleled blend of expertise and experience in advanced AI/ML techniques, scientific research and data, and business strategy. Enthought is headquartered in Austin, Texas, USA with additional offices in Tokyo, Japan; Cambridge, United Kingdom; and Zürich, Switzerland.

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