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Si-Da Huang

Showing results (1-10 of 4) with videos related to

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The Journal of Chemical Physics|November 10, 2019
Ultrasmall Au clusters supported on pristine and defected CeO<sub>2</sub>: Structure and stabilitySi-Da Huang, Cheng Shang, Zhi-Pan Liu
Journal of Computational Chemistry|November 11, 2018
Massively parallelization strategy for material simulation using high-dimensional neural network potentialCheng Shang, Si-Da Huang, Zhi-Pan Liu
Chemical Science|January 9, 2018
Material discovery by combining stochastic surface walking global optimization with a neural networkSi-Da Huang, Cheng Shang, Xiao-Jie Zhang, et al.
Chemical Science|January 11, 2019
Atomic structure of boron resolved using machine learning and global samplingSi-Da Huang, Cheng Shang, Pei-Lin Kang, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|November 10, 2019
Ultrasmall Au clusters supported on pristine and defected CeO<sub>2</sub>: Structure and stabilitySi-Da Huang, Cheng Shang, Zhi-Pan Liu
Journal of Computational Chemistry|November 11, 2018
Massively parallelization strategy for material simulation using high-dimensional neural network potentialCheng Shang, Si-Da Huang, Zhi-Pan Liu
Chemical Science|January 9, 2018
Material discovery by combining stochastic surface walking global optimization with a neural networkSi-Da Huang, Cheng Shang, Xiao-Jie Zhang, et al.
Chemical Science|January 11, 2019
Atomic structure of boron resolved using machine learning and global samplingSi-Da Huang, Cheng Shang, Pei-Lin Kang, et al.
Pageof 1