AI in Composite Materials and Manufacturing Webinar

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Repost from #sampeconnext #gosampe #advancedmaterials #composites #ai | SAMPE

The intersection of artificial intelligence (AI) and composite manufacturing is revolutionizing the discovery, design, and deployment of materials. This webinar presents the Artificially Intelligent Manufacturing (AIM) Paradigm for Composites, a Department of Energy Energy Frontier Research Center (EFRC) leading the charge in integrating physics-informed AI models with high-fidelity multiscale simulations and real-time experimental validation to expedite advancements in polymer composite systems. Participants will gain insights into how AIā€”utilizing tools such as Physics-Informed Neural Networks (PINNs), Deep Neural Operators (DNOs), and generative models like FiberDiffusion and ProcessGANā€”is facilitating the inverse design of both composite materials and their manufacturing processes. These methodologies are grounded in the Digital Life Cycle (DLC), a framework that connects Materialā€“Processā€“Microstructureā€“Performance (MP2) relationships with sustainability metrics encompassing energy, environmental impact, and economic factors. The presentation will also underscore AIMā€™s manufacturing testbeds, which function as real-world platforms for validating AI-generated predictions and investigating innovative processing methods. This session is designed for professionals from industry, academia, or government, offering a distinctive perspective on how AI is transforming the future of composite manufacturing by fostering scalable, sustainable, and intelligent systems.

Dr. Srikanth Pilla is a Professor and Director of the Center for Composite Materials at the University of Delaware (UD-CCM) with faculty appointments in Mechanical Engineering, Chemical and Biomolecular Engineering, and Materials Science and Engineering. He is also the Founding Director of ā€˜AIM for Composites,ā€™ a Department of Energy-funded Energy Frontier Research Center. Pilla also co-directs IDeAS Composites, an NSF National Research Traineeship program focused on training next-generation composite leaders

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More details at AI in Composite Materials and Manufacturing Webinar ā€“ SAMPE Connext

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@Yu_Group feel free to register for this webinar. It looks interesting.

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@Yu_Group, @Jeffrey_Liu @tao364744553 the following three papers are relevant to the webinar today. Feel free to comment what you learn from these papers:

  1. [Physically Constrained 3D Diffusion for Inverse Design of Fiber-reinforced Polymer Composite Materials](https://www.sciencedirect.com/science/article/pii/S1359836825004160
  2. Introduction to dataā€driven systems for plastics and composites manufacturing
  3. A Foundation Model for Chemical Design and Property Prediction
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@Wenbin Sorry for the late reply. I had several meetings yesterday and unfortunately missed the webinar. Looks like it was a very interesting webinar. Iā€™ll watch the recording if itā€™s available and review the papers. Iā€™ll follow up with my comments once Iā€™ve gone through them.

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@Jeffrey_Liu Have you got a chance to look Dr. Pillaā€™s work and provide some comment?

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I watched the video but havenā€™t read the papers yet, as I have two proposals due in the past two weeks. I will read them and let you know my thoughts.

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I went through the papers. The second one is a review article, and the third primarily focuses on chemical design, which is somewhat outside my main area of interest. I found the first paper most compelling, as it applies several advanced models (e.g., diffusion models) for 3D inverse design. While I donā€™t yet fully grasp the underlying theoretical framework, the approach appears to be highly promising and potentially applicable to a broad range of design problems.

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thanks a lot for your comments.