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MARCH 10-12, 2026 | RALEIGH, NC |
Advanced manufacturing enables transfer of science and technology into new products and processes. It is particularly pertinent for technologically complex products and for the commercialization of advanced materials such as those highlighted at TechConnect World. This symposium focuses on challenges and success stories in technology development and highlights exciting new approaches to solving manufacturing challenges.

Victoria University of Wellington, New Zealand
Back to Top ↑2026 Symposium Sessions | ||
Tuesday March 10 | ||
| 3:30 | Manufacturing USA Institutes: A Partner for Catalyzing Innovation Coast to Coast | |
Wednesday March 11 | ||
| 9:30 | Next-gen polymers: Lightweight and Advanced Engineering | |
| 1:30 | U.S. National Strategic Plan for Advanced Manufacturing Town Hall | |
Thursday March 12 | ||
| 9:00 | Advanced Manufacturing Innovation | |
2026 Symposium Program | ||
Tuesday March 10 | ||
| 3:30 | Manufacturing USA Institutes: A Partner for Catalyzing Innovation Coast to Coast | RCC 305A |
| K. Rogers, Office of Advanced Manufacturing, NIST, US | ||
| S. Stolyarov, AFFOA, US | ||
Wednesday March 11 | ||
| 9:30 | Next-gen polymers: Lightweight and Advanced Engineering | Marriott University B |
| Session chair: Maksim Shivokhin, ExxonMobile, & Steve Sopher, JSP | ||
| From Premium to Progress: How Lightweight Polymers and Cross-Value Chain collaboration are critical to Chemical Industry Sustainability Goals B. McGinley, Deloitte Consulting LLP, US | ||
| EPLA – evolution of a plantbased bead foam J.-C. Albrecht, C. Mack, Fraunhofer ICT, DE | ||
| Low Melting Propylene-Based Polymer for Low Pressure Foam Molding C. Cuddington, ExxonMobil, US | ||
| Design Optimization and Dimensional Tolerance Improvement of Expanded Polypropylene (EPP) for Enhanced Automotive System Integration S. Sopher, J. Parker, JSP, US | ||
| Process Control in Foam Extrusion D. Molloy, J. Dixon, Promix-Solutions, US | ||
| Advanced Polypropylene Foam Extrusion Technology and Its Potential Applications G.R. Wilkes, D. You, J. Kim, A. Kim, C. Park, Amylum Systems, US | ||
| Glassy gel - next generation lightweight materials B.H. Chen, M.X. Wang, M.D. Dickey, North Carolina State University, US | ||
| 1:30 | U.S. National Strategic Plan for Advanced Manufacturing Town Hall | RCC 304 |
| Session chair: Mike Molnar, Advanced Manufacturing National Program Office, NIST | ||
| This town hall event will gather information from conference participants for the 2026 – 2030 National Strategic Plan for Advanced Manufacturing, which guides Federal efforts to enhance the competitiveness of U.S. manufacturing. The plan is revised every four years to provide new federal priorities in advanced manufacturing research and development, aiming to create jobs, boost economic growth across various sectors, and strengthen national security. This town hall session augments an online Request for Information (RFI), enabling participants to voice their views and catalyze deeper input into priority areas. The White House Office of Science and Technology Policy has posted the full set of questions in the Federal Register at: https://www.federalregister.gov/documents/2025/06/20/2025-11379/notice-of-request-for-information-national-strategic-plan-for-advanced-manufacturing | ||
Thursday March 12 | ||
| 9:00 | Advanced Manufacturing Innovation | Marriott University B |
| Session chair: Ani Sumant, Argonne National Laboratory | ||
| Scalable manufacturing of nanostructured surfaces that manipulate visible and IR light N.C. Scott, L. Micklow, R. McDonald, S. Furst, Smart Material Solutions, LLC, US | ||
| Data-Driven Design of Job-Specific Insoles for Construction Roofers R. Kayastha, K. Kisi, J. Tate, Texas State University, US | ||
| Process–Structure–Property Control in Laser-Induced Graphene Composite Manufacturing P. Kang, B.G. Kim, George Mason University, US | ||
| A Multimodal Agentic RAG System for Real-Time Guidance in Composite Manufacturing Facilities K. Chawla, K. Mora-Gonzalez, T. Ghosal, W. Halsey, V. Paquit, A.A. Hassen, S. Kim, Oak Ridge National Laboratory, US | ||
| Improving Manufacturing with Adaptive Learning in Industry 4.0: Challenges, and Policy Implications B. Doskenov, O. Adaji, R. Dosumu, Pacific Seafood, US | ||
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