Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution
Author:
Affiliation:
1. Department of Chemical Engineering National Taiwan University Taipei Taiwan
Publisher
Wiley
Subject
Polymers and Plastics,Condensed Matter Physics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppap.202100096
Reference45 articles.
1. Optical emission spectroscopy as a diagnostic for plasmas in liquids: opportunities and pitfalls
2. Optical diagnostics of atmospheric pressure air plasmas
3. Foundations of optical diagnostics in low-temperature plasmas
4. Plasma-Liquid Interactions at Atmospheric Pressure for Nanomaterials Synthesis and Surface Engineering
5. Ultra-Low-Cost and Flexible Paper-Based Microplasma Generation Devices for Maskless Patterning of Poly(ethylene oxide)-like Films
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