Machine learning and analytical methods for single-molecule conductance measurements
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- Yuki Komoto
- SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
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- Masateru Taniguchi
- SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
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- Jiho Ryu
- SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
書誌事項
- 公開日
- 2023
- 資源種別
- journal article
- 権利情報
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- http://creativecommons.org/licenses/by/3.0/
- DOI
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- 10.1039/d3cc01570j
- 公開者
- Royal Society of Chemistry (RSC)
この論文をさがす
説明
<jats:p>Single-molecule measurements provide a large amount of conductance data that varies over a wide range. We reviewed the development of machine learning-based analysis for reliable single-molecule measurement.</jats:p>
収録刊行物
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- Chemical Communications
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Chemical Communications 59 (45), 6796-6810, 2023
Royal Society of Chemistry (RSC)
