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Chemical Science|October 28, 2024
Entropy in catalyst dynamics under confinementQi-Yuan Fan, Yun-Pei Liu, Hao-Xuan Zhu, et al.Nature Computational Science|March 29, 2025
Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shiftsFanjie Xu, Wentao Guo, Feng Wang, et al.Chemical Science|September 15, 2023
Transcription between human-readable synthetic descriptions and machine-executable instructions: an application of the latest pre-training technologyZheni Zeng, Yi-Chen Nie, Ning Ding, et al.National Science Review|August 4, 2025
Deep learning for sub-ångström-resolution imaging in uncorrected scanning transmission electron microscopyZanlin Qiu, Yuan Meng, Junxian Li, et al.Scientific Data|December 18, 2025
NMRexp: A database of 3.3 million experimental NMR spectraJun-Jie Wang, Yongqi Jin, Chen-Yu Zhi, et al.Nature|February 12, 2025
Direct experimental constraints on the spatial extent of a neutrino wavepacketJoseph Smolsky, Kyle G Leach, Ryan Abells, et al.The Journal of Chemical Physics|August 1, 2023
DeePMD-kit v2: A software package for deep potential modelsJinzhe Zeng, Duo Zhang, Denghui Lu, et al.Cell|May 1, 2026
PLANeT: Understanding and leveraging the genome of land plants for a sustainable futureLi Wang, Mohamed Amar, Carlos I Arbizu, et al.Nature|July 1, 2026
Towards the construction of a virtual yeastLiujia Qian, Zizhuo Zhou, Peijie Zhou, et al.Nature|December 11, 2024
π-HuB: the proteomic navigator of the human bodyFuchu He, Ruedi Aebersold, Mark S Baker, et al.Pageof 7