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Yanqiang Han

Showing results (1-10 of 26) with videos related to

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Molecules (Basel, Switzerland)|December 11, 2022
Phase Transitions and Stabilities among Three Phases of Di-p-tolyl DisulfidesImran Ali, Yanqiang Han, Jinjin Li
The Journal of Physical Chemistry Letters|December 14, 2020
Neural Networks Accelerate the <i>Ab Initio</i> Prediction of Solid-Solid Phase Transitions at High PressuresYanqiang Han, Zhilong Wang, Jinjin Li
RSC Advances|May 2, 2022
Ab initio-enabled phase transition prediction of solid carbon dioxide at ultra-high temperaturesLei Huang, Yanqiang Han, Xiao He, et al.
Briefings in Bioinformatics|September 20, 2022
Clustered tree regression to learn protein energy change with mutated amino acidHongwei Tu, Yanqiang Han, Zhilong Wang, et al.
The Journal of Physical Chemistry. B|March 27, 2020
Combining the Fragmentation Approach and Neural Network Potential Energy Surfaces of Fragments for Accurate Calculation of Protein EnergyZhilong Wang, Yanqiang Han, Jinjin Li, et al.
Molecules (Basel, Switzerland)|June 10, 2023
Binding Affinity and Mechanisms of Potential Antidepressants Targeting Human NMDA ReceptorsSimin Ye, Yanqiang Han, Zhiyun Wei, et al.
Scientific Reports|May 7, 2020
Ab Initio Prediction of the Phase Transition for Solid Ammonia at High PressuresLei Huang, Yanqiang Han, Jinyun Liu, et al.
Computational and Structural Biotechnology Journal|August 2, 2021
Binding affinity and mechanisms of SARS-CoV-2 variantsYanqiang Han, Zhilong Wang, Zhiyun Wei, et al.
Briefings in Bioinformatics|May 21, 2021
Machine learning builds full-QM precision protein force fields in secondsYanqiang Han, Zhilong Wang, Zhiyun Wei, et al.
Briefings in Bioinformatics|September 17, 2020
Potential inhibitors for the novel coronavirus (SARS-CoV-2)Yanqiang Han, Zhilong Wang, Jiahao Ren, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Molecules (Basel, Switzerland)|December 11, 2022
Phase Transitions and Stabilities among Three Phases of Di-p-tolyl DisulfidesImran Ali, Yanqiang Han, Jinjin Li
The Journal of Physical Chemistry Letters|December 14, 2020
Neural Networks Accelerate the <i>Ab Initio</i> Prediction of Solid-Solid Phase Transitions at High PressuresYanqiang Han, Zhilong Wang, Jinjin Li
RSC Advances|May 2, 2022
Ab initio-enabled phase transition prediction of solid carbon dioxide at ultra-high temperaturesLei Huang, Yanqiang Han, Xiao He, et al.
Briefings in Bioinformatics|September 20, 2022
Clustered tree regression to learn protein energy change with mutated amino acidHongwei Tu, Yanqiang Han, Zhilong Wang, et al.
The Journal of Physical Chemistry. B|March 27, 2020
Combining the Fragmentation Approach and Neural Network Potential Energy Surfaces of Fragments for Accurate Calculation of Protein EnergyZhilong Wang, Yanqiang Han, Jinjin Li, et al.
Molecules (Basel, Switzerland)|June 10, 2023
Binding Affinity and Mechanisms of Potential Antidepressants Targeting Human NMDA ReceptorsSimin Ye, Yanqiang Han, Zhiyun Wei, et al.
Scientific Reports|May 7, 2020
Ab Initio Prediction of the Phase Transition for Solid Ammonia at High PressuresLei Huang, Yanqiang Han, Jinyun Liu, et al.
Computational and Structural Biotechnology Journal|August 2, 2021
Binding affinity and mechanisms of SARS-CoV-2 variantsYanqiang Han, Zhilong Wang, Zhiyun Wei, et al.
Briefings in Bioinformatics|May 21, 2021
Machine learning builds full-QM precision protein force fields in secondsYanqiang Han, Zhilong Wang, Zhiyun Wei, et al.
Briefings in Bioinformatics|September 17, 2020
Potential inhibitors for the novel coronavirus (SARS-CoV-2)Yanqiang Han, Zhilong Wang, Jiahao Ren, et al.
Pageof 3