Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization

Materials synthesis optimization is constrained by serial feedback processes that rely on manual tools and intuition across multiple siloed modes of characterization. We automate and generalize feature extraction of reflection high-energy electron diffraction (RHEED) data with machine learning to es...

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Veröffentlicht in:	Nano letters 2024-11, Vol.24 (46), p.14862-14867
Hauptverfasser:	Price, Christopher C., Li, Yansong, Zhou, Guanyu, Younas, Rehan, Zeng, Spencer S., Scanlon, Tim H., Munro, Jason M., Hinkle, Christopher L.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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