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Data Driven Optimization of BN Polymer Composites Using Automated Experimentation and Machine Learning
Document ID
20260006836
Acquisition Source
Glenn Research Center
Document Type
Poster
Authors
Farnaz Kaboudvand (HX5 (United States) Fort Walton Beach, Florida, United States)
Diana Santiago (Glenn Research Center Cleveland, United States)
Kristopher C Pierson (Glenn Research Center Cleveland, United States)
Brandon L Hearley (Glenn Research Center Cleveland, United States)
Date Acquired
July 27, 2026
Subject Category
Composite Materials
Computer Programming and Software
Meeting Information
Meeting: American Chemical Society (ACS) Fall Meeting
Location: Chicago, IL
Country: US
Start Date: August 23, 2026
End Date: August 27, 2026
Sponsors: American Chemical Society
Funding Number(s)
CONTRACT_GRANT: WO-0510
WBS: 361807.02.03.02.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
machine learning
boron nitride
automated lab

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