Li, Yunrui, Xu, Hao, Kumar, Ambrish, Wang, Duo-Sheng, Heiss, Christian, Azadi, Parastoo, and Hong, Pengyu. TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning. Retrieved from https://par.nsf.gov/biblio/10609139. Communications Chemistry 8.1 Web. doi:10.1038/s42004-025-01455-9.

Li, Yunrui, Xu, Hao, Kumar, Ambrish, Wang, Duo-Sheng, Heiss, Christian, Azadi, Parastoo, & Hong, Pengyu. TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning. Communications Chemistry, 8 (1). Retrieved from https://par.nsf.gov/biblio/10609139. https://doi.org/10.1038/s42004-025-01455-9

Li, Yunrui, Xu, Hao, Kumar, Ambrish, Wang, Duo-Sheng, Heiss, Christian, Azadi, Parastoo, and Hong, Pengyu. "TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning". Communications Chemistry 8 (1). Country unknown/Code not available: Communications Chemistry. https://doi.org/10.1038/s42004-025-01455-9. https://par.nsf.gov/biblio/10609139.

@article{osti_10609139,
place = {Country unknown/Code not available}, title = {TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning}, url = {https://par.nsf.gov/biblio/10609139}, DOI = {10.1038/s42004-025-01455-9}, abstractNote = {}, journal = {Communications Chemistry}, volume = {8}, number = {1}, publisher = {Communications Chemistry}, author = {Li, Yunrui and Xu, Hao and Kumar, Ambrish and Wang, Duo-Sheng and Heiss, Christian and Azadi, Parastoo and Hong, Pengyu}, }