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MS&T24: Materials Science & Technology
Symposium
Standards for Data Science in Additive Manufacturing
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OTHER PAPERS PLANNED FOR THIS SYMPOSIUM
Addressing Limitations in the Historical Reporting of Fatigue Meta-Data for Additively Manufactured Titanium Alloys
Challenges in Producing, Curating, and Sharing Large Multimodal, Multi-Institutional Data Sets for Additive Manufacturing
How Much Data is Enough Data in the Qualification of AM Parts?
Motivation and Application of Data Science for Additive Manufacturing Process Pre-Qualification
Scientific Data FAIRification and Dynamic Knowledge Infrastructure to Drive AI
Transferability of Workflow in Direct Ink Write Printing and Analysis
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