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Rongzhi Dong

Showing results (1-10 of 11) with videos related to

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ACS Omega|May 31, 2021
Mlatticeabc: Generic Lattice Constant Prediction of Crystal Materials Using Machine LearningYuxin Li, Wenhui Yang, Rongzhi Dong, et al.
The Journal of Physical Chemistry. A|July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language ModelsRongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 13, 2021
Crystal structure prediction of materials with high symmetry using differential evolutionWenhui Yang, Edirisuriya M Dilanga Siriwardane, Rongzhi Dong, et al.
Journal of Chemical Information and Modeling|June 13, 2023
Global Mapping of Structures and Properties of Crystal MaterialsQinyang Li, Rongzhi Dong, Nihang Fu, et al.
ACS Omega|March 3, 2020
Machine Learning-Based Prediction of Crystal Systems and Space Groups from Inorganic Materials CompositionsYong Zhao, Yuxin Cui, Zheng Xiong, et al.
International Journal of Nursing Studies|April 28, 2015
Effect of repeated Kangaroo Mother Care on repeated procedural pain in preterm infants: A randomized controlled trialHaixia Gao, Guihua Xu, Honglian Gao, et al.
ACS Omega|July 31, 2023
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic MaterialsJianjun Hu, Yong Zhao, Qin Li, et al.
Patterns (New York, N.Y.)|May 24, 2022
Scalable deeper graph neural networks for high-performance materials property predictionSadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, et al.
Inorganic Chemistry|April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials DiscoveryLai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces|August 26, 2022
DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material CompositionRongzhi Dong, Yong Zhao, Yuqi Song, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
ACS Omega|May 31, 2021
Mlatticeabc: Generic Lattice Constant Prediction of Crystal Materials Using Machine LearningYuxin Li, Wenhui Yang, Rongzhi Dong, et al.
The Journal of Physical Chemistry. A|July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language ModelsRongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 13, 2021
Crystal structure prediction of materials with high symmetry using differential evolutionWenhui Yang, Edirisuriya M Dilanga Siriwardane, Rongzhi Dong, et al.
Journal of Chemical Information and Modeling|June 13, 2023
Global Mapping of Structures and Properties of Crystal MaterialsQinyang Li, Rongzhi Dong, Nihang Fu, et al.
ACS Omega|March 3, 2020
Machine Learning-Based Prediction of Crystal Systems and Space Groups from Inorganic Materials CompositionsYong Zhao, Yuxin Cui, Zheng Xiong, et al.
International Journal of Nursing Studies|April 28, 2015
Effect of repeated Kangaroo Mother Care on repeated procedural pain in preterm infants: A randomized controlled trialHaixia Gao, Guihua Xu, Honglian Gao, et al.
ACS Omega|July 31, 2023
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic MaterialsJianjun Hu, Yong Zhao, Qin Li, et al.
Patterns (New York, N.Y.)|May 24, 2022
Scalable deeper graph neural networks for high-performance materials property predictionSadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, et al.
Inorganic Chemistry|April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials DiscoveryLai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces|August 26, 2022
DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material CompositionRongzhi Dong, Yong Zhao, Yuqi Song, et al.
Pageof 2