About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
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| Symposium
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Novel Strategies for Rapid Acquisition and Processing of Large Datasets From Advanced Characterization Techniques
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| Presentation Title |
Lightweight Services and Federated Storage for Data-Intensive Structural Materials Research |
| Author(s) |
Katherine Shanks, Kelly Nygren, Werner Sun, Valentin Kuznetsov |
| On-Site Speaker (Planned) |
Katherine Shanks |
| Abstract Scope |
Due to their ability to non-destructively probe the microstructural/micromechanical state of materials at the micron to millimeter length scale, synchrotron x-ray techniques play a prominent role in structural materials research. The advances in source brightness and detector data rates that have enabled the growth of synchrotron-based techniques have also dramatically increased both the volume and complexity of the resulting experimental datasets. This has created a critical need for development of both new tools for data analysis and interpretation, and robust cyberinfrastructure for data and metadata capture, curation, and dissemination. Here, we describe a suite of modular services and federated resources under development at the Cornell High Energy Synchrotron Source to facilitate interpretation and visualization of large datasets, support facility users’ efforts to share curated materials datasets with the broader community in adherence with FAIR principles, and provide robust metadata and provenance tracking for raw and processed data. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, |