Machine learning in NMR spectroscopy

doi:10.1016/j.pnmrs.2025.101575

2025-07-01

PRE

Piotr Klukowski *

Roland Riek *

Peter Güntert *

DOI：10.1016/j.pnmrs.2025.101575

原文链接

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摘要

En 中文

• 机器学习可以提升NMR数据采集、处理、信号检测和分析。 • 机器学习方法、设计选择以及NMR相关的关键公开可用数据仓库。 • 机器学习领域的主要趋势和新兴方向，能够推动该领域的研究进展。

Keyword:

NMR spectroscopy

Machine learning

Deep learning

Automated spectrum analysis

Peak picking

Chemical shift assignment

Structure determination

Chemical shift prediction

Non-uniform sampling

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期刊

Progress in Nuclear Magnetic Resonance Spectroscopy

IF:

8.2

论文数:

528

被引数:

2.7K

机构

ETH Zurich

学者数:

3.0W

论文数: 2.4W

被引数: 8.4W

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