Frontispiece: Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. Issue 46 (17th August 2020)

• Record Type: Journal Article
• Authors: Chen, Dicheng; Wang, Zi; Guo, Di; Orekhov, Vladislav; Qu, Xiaobo
• Is Part Of: Chemistry. Volume 26:Issue 46(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-17
• Subjects: artificial intelligence -- computational chemistry -- deep learning -- NMR spectroscopy; Chemistry -- Periodicals; 540
• DOI: 10.1002/chem.202084662
• Languages: English
• ISSNs: 0947-6539

Abstract

Abstract : Deep learning (DL), a concept, originally proposed in 2006, provides an unprecedented way to analyze and process data with demonstrated great results in computer vision, medical imaging, natural language processing, and so forth. Applications of DL in NMR spectroscopy as well as a perspective for DL to be used in chemistry and life science are given in the Minireview by X. Qu et al. on page 10391 ff.