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Meeting MS&T24: Materials Science & Technology
Symposium Tackling Metallic Structural Materials Challenges for Advanced Nuclear Reactors
Sponsorship TMS: Nuclear Materials Committee
TMS: Advanced Characterization, Testing, and Simulation Committee
Organizer(s) Miaomiao Jin, Pennsylvania State University
Xing Wang, Pennsylvania State University
Karim Ahmed, Texas A&M University
Jeremy Bischoff, Framatome
Adrien Couet, University of Wisconsin-Madison
Kevin Field, University of Michigan
Lingfeng He, North Carolina State University
Raul B. Rebak, GE Global Research
Scope Advanced nuclear reactor designs will play a critical role in meeting the ever-increasing demand for carbon-free energy worldwide. Compared to light water reactors (LWRs), the proposed advanced nuclear energy systems present an exceptionally harsh environment for the structural materials due to a combination of elevated temperature, increased radiation damage, extended service time, and more corrosive coolants. Furthermore, the growing interest in demonstrating advanced reactor designs requires the qualification process of structural materials to be accelerated. All these challenges must be tackled in order to realize the desired safety, efficiency, and economics of future nuclear reactors. Meanwhile, rapid progress in other emerging fields, such as additive manufacturing, high-throughput testing and simulation, multiscale modeling, and data analytics provide new avenues to addressing these challenges in structural materials for advanced reactors. This symposium aims to gather research on metallic structural materials, which can be the evaluation of existing material systems under new conditions or the design of advanced structural materials. Both experimental and computational work are welcome.

Abstracts are solicited in, but not limited to, the following areas:
• Novel structural material concepts for enhanced radiation tolerance
• New manufacturing processes (e.g., additive manufacturing)
• High-throughput testing and characterization of materials for nuclear applications
• Multiscale modeling and simulation
• High-throughput simulation and machine learning
• Corrosion in non-LWR and accidental conditions
• Microstructural evolution under extreme environments

Abstracts Due 05/01/2024
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