TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning.

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第一作者： Yunrui,Li

第一单位： Department of Computer Science, Brandeis University, Waltham, MA, USA.

作者： Yunrui,Li ^[1] ; Hao,Xu ^[2] ; Ambrish,Kumar ^[3] ; Duo-Sheng,Wang ^[4] ; Christian,Heiss ^[3] ; Parastoo,Azadi ^[3] ; Pengyu,Hong ^[5]

作者单位： Department of Computer Science, Brandeis University, Waltham, MA, USA. ^[1] Department of Medicine, Harvard Medical School, Boston, MA, USA. ^[2] Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA. ^[3] Department of Chemistry, Boston College, Chestnut Hill, MA, USA. ^[4] Department of Computer Science, Brandeis University, Waltham, MA, USA. hongpeng@brandeis.edu. ^[5]

DOI 10.1038/s42004-025-01455-9

PMID 39979575

发布时间 2025-02-23

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Communications chemistry

2025年8卷1期

51页

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TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning.

Communications chemistry

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Communications chemistry

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TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning.

Communications chemistry

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Communications chemistry

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