Nuclear Magnetic Resonance and Artificial Intelligence
This review explores the current applications of artificial intelligence (AI) in nuclear magnetic resonance (NMR) spectroscopy, with a particular emphasis on small molecule chemistry. Applications of AI techniques, especially machine learning (ML) and deep learning (DL) in the areas of shift predict...
Saved in:
| Main Authors: | Stefan Kuhn, Rômulo Pereira de Jesus, Ricardo Moreira Borges |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Encyclopedia |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-8392/4/4/102 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nuclear magnetic resonance relaxometry to characterise the decomposition degree of peat soils
by: Stephan Costabel, et al.
Published: (2025-04-01) -
First Measurements of Surface Nuclear Magnetic Resonance Signals in a Grounded Bipole
by: A. C. Davis, et al.
Published: (2019-08-01) -
Tight oil imbibition based on nuclear magnetic resonance signal calibration method
by: TANG Huiying, DI Kaixiang, ZHANG Liehui, GUO Jingjing, ZHANG Tao, TIAN Ye, ZHAO Yulong
Published: (2024-06-01) -
Applications of high-field nuclear magnetic resonance (NMR) in chemical research
by: Qian Li, et al.
Published: (2025-06-01) -
Nuclear Magnetic Resonance (NMR) as A Method of Characterizing Antigen Synthesis for Successful Antibody Production
by: Lusiani Dewi Assaat, et al.
Published: (2023-01-01)