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Siyuan Han

Showing results (51-60 of 55) with videos related to

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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 30, 2026
Performance Evaluation of SmartBrain: A Wearable PET System for Human Brain ImagingHan Liu, Wenkang Qu, Da Liang, et al.
Nature Communications|March 25, 2016
Coherent population transfer between uncoupled or weakly coupled states in ladder-type superconducting qutritsH K Xu, C Song, W Y Liu, et al.
BMJ Open|December 18, 2019
Chinese multicentre prospective registry of breast cancer patient-reported outcome-reconstruction and oncoplastic cohort (PRO-ROC): a study protocolLun Li, Benlong Yang, Hongyuan Li, et al.
Physical Review Letters|December 9, 2017
10-Qubit Entanglement and Parallel Logic Operations with a Superconducting CircuitChao Song, Kai Xu, Wuxin Liu, et al.
Journal of Chemical Theory and Computation|May 2, 2025
DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning PotentialsJinzhe Zeng, Duo Zhang, Anyang Peng, et al.
Pageof 6

Showing results (51-60 of 55) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 55 results.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 30, 2026
Performance Evaluation of SmartBrain: A Wearable PET System for Human Brain ImagingHan Liu, Wenkang Qu, Da Liang, et al.
Nature Communications|March 25, 2016
Coherent population transfer between uncoupled or weakly coupled states in ladder-type superconducting qutritsH K Xu, C Song, W Y Liu, et al.
BMJ Open|December 18, 2019
Chinese multicentre prospective registry of breast cancer patient-reported outcome-reconstruction and oncoplastic cohort (PRO-ROC): a study protocolLun Li, Benlong Yang, Hongyuan Li, et al.
Physical Review Letters|December 9, 2017
10-Qubit Entanglement and Parallel Logic Operations with a Superconducting CircuitChao Song, Kai Xu, Wuxin Liu, et al.
Journal of Chemical Theory and Computation|May 2, 2025
DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning PotentialsJinzhe Zeng, Duo Zhang, Anyang Peng, et al.
Pageof 6