High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning
Abstract The identification of nanomaterials with the properties required for energy-efficient electronic systems is usually a tedious human task. A workflow to rapidly localize and characterize nanomaterials at the various stages of their integration into large-scale fabrication processes is essent...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2022-02-01
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Series: | Microsystems & Nanoengineering |
Online Access: | https://doi.org/10.1038/s41378-022-00350-w |