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Shuaihua Lu

Showing results (1-10 of 20) with videos related to

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National Science Review|May 22, 2026
Breaking the data cage in generative materials discoveryShuaihua Lu, Xiao Cheng Zeng
The Journal of Physical Chemistry Letters|April 25, 2020
Property-Oriented Material Design Based on a Data-Driven Machine Learning TechniqueQionghua Zhou, Shuaihua Lu, Yilei Wu, et al.
BMC Musculoskeletal Disorders|January 13, 2021
LncRNA HOTTIP leads to osteoarthritis progression via regulating miR-663a/ Fyn-related kinase axisXianwei He, Kun Gao, Shuaihua Lu, et al.
National Science Review|August 22, 2022
Inverse design with deep generative models: next step in materials discoveryShuaihua Lu, Qionghua Zhou, Xinyu Chen, et al.
Nature Communications|July 15, 2025
Accurate prediction of synthesizability and precursors of 3D crystal structures via large language modelsZhilong Song, Shuaihua Lu, Minggang Ju, et al.
Nature Communications|July 31, 2024
Author Correction: From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learningXinyu Chen, Shuaihua Lu, Qian Chen, et al.
Nature Communications|June 25, 2024
From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learningXinyu Chen, Shuaihua Lu, Qian Chen, et al.
Nanoscale|July 9, 2021
Accelerated design of promising mixed lead-free double halide organic-inorganic perovskites for photovoltaics using machine learningYilei Wu, Shuaihua Lu, Ming-Gang Ju, et al.
The Journal of Physical Chemistry Letters|April 6, 2023
Adaptive Design of Alloys for CO<sub>2</sub> Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search AlgorithmZhilong Song, Qionghua Zhou, Shuaihua Lu, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 16, 2020
Coupling a Crystal Graph Multilayer Descriptor to Active Learning for Rapid Discovery of 2D Ferromagnetic Semiconductors/Half-Metals/MetalsShuaihua Lu, Qionghua Zhou, Yilv Guo, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
National Science Review|May 22, 2026
Breaking the data cage in generative materials discoveryShuaihua Lu, Xiao Cheng Zeng
The Journal of Physical Chemistry Letters|April 25, 2020
Property-Oriented Material Design Based on a Data-Driven Machine Learning TechniqueQionghua Zhou, Shuaihua Lu, Yilei Wu, et al.
BMC Musculoskeletal Disorders|January 13, 2021
LncRNA HOTTIP leads to osteoarthritis progression via regulating miR-663a/ Fyn-related kinase axisXianwei He, Kun Gao, Shuaihua Lu, et al.
National Science Review|August 22, 2022
Inverse design with deep generative models: next step in materials discoveryShuaihua Lu, Qionghua Zhou, Xinyu Chen, et al.
Nature Communications|July 15, 2025
Accurate prediction of synthesizability and precursors of 3D crystal structures via large language modelsZhilong Song, Shuaihua Lu, Minggang Ju, et al.
Nature Communications|July 31, 2024
Author Correction: From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learningXinyu Chen, Shuaihua Lu, Qian Chen, et al.
Nature Communications|June 25, 2024
From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learningXinyu Chen, Shuaihua Lu, Qian Chen, et al.
Nanoscale|July 9, 2021
Accelerated design of promising mixed lead-free double halide organic-inorganic perovskites for photovoltaics using machine learningYilei Wu, Shuaihua Lu, Ming-Gang Ju, et al.
The Journal of Physical Chemistry Letters|April 6, 2023
Adaptive Design of Alloys for CO<sub>2</sub> Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search AlgorithmZhilong Song, Qionghua Zhou, Shuaihua Lu, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 16, 2020
Coupling a Crystal Graph Multilayer Descriptor to Active Learning for Rapid Discovery of 2D Ferromagnetic Semiconductors/Half-Metals/MetalsShuaihua Lu, Qionghua Zhou, Yilv Guo, et al.
Pageof 2