Materials by Design Webinar
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A Technical Framework for Materials by Design in Enterprise R&D

Live webinar held on February 25, 2026

Overview

Materials by Design (MbD), a high-value computational design paradigm, represents a fundamental shift from the traditional trial-and-error approach to an inverse design approach to materials discovery and process development.

Advancements in scientific artificial intelligence (AI) have enabled new possibilities in materials R&D, making MbD more tractable and achievable for industry-relevant problems and timescales. 

Join Enthought’s AI and Materials Informatics experts for an essential discussion about Materials by Design and a modern technical framework for achieving it in enterprise R&D by leveraging scientific AI and machine learning.

Attendees will also learn about real-world use cases from leading specialty chemicals and advanced materials companies who are successfully driving towards MbD for transformational market advantage.

Key Learning Objectives:

  • To gain a foundational understanding of scientific AI/ML-enabled Materials by Design
  • To understand the technical considerations to achieve Materials by Design in enterprise R&D
  • To hear real-world use cases from specialty chemicals and advanced materials companies

Outline:

  • Defining Materials by Design (MbD)
  • Technical Framework
  • How to Get Value While Working Towards MbD
  • Case Examples
    • Data-Augmented Search
    • Prediction-Augmented Search
    • Automated Data Analysis Pipeline
    • Machine-Directed Discovery
  • Key Takeaways
  • Q&A

This Webinar is For:

  • Materials and chemistry R&D leaders
  • R&D AI and technology leaders
  • Materials product owners and R&D teams
  • Materials Informatics leaders
  • Principal scientists and senior computational scientists

Speakers:

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Michael Connell, EdD

Chief Operating Officer, Enthought Inc.

Connell holds a M.S. in Electrical Engineering and Computer Science from MIT, and a doctorate in Education from Harvard University. He is a learning scientist with a background in robotics, artificial intelligence, software engineering, and education. He is passionate about using data science to solve practical problems, from data mining to predictive modeling to adaptive learning design. Prior to joining Enthought, he was a software design engineer at Microsoft and also served as a teacher at Harvard University, Dartmouth College, and The University of Texas. Connell has served in numerous key roles at Enthought including vice president of organizational change and digital transformation, before becoming Chief Operating Officer in 2023.

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Michael Heiber, PhD

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

Michael 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. Michael leads Enthought’s Materials Informatics technical team and supports customers in large-scale MI initiatives. Prior to joining Enthought, he worked as a postdoc, where he developed improved physical models for organic electronic devices that connect the complex materials microstructure to semiconductor device physics. This research was enabled by custom open source software tools for physics-based device simulations, automated experimental measurements, and advanced data analysis. 


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.

Learn more about us here.