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Journal Articles

Deep-learning design of electronic metasurfaces in graphene for quantum control and Dirac electron holography

Chen-Di Han, Li-Li Ye, Zin Lin, Vassilios Kovanis, Ying-Cheng Lai

APL Mach. Learn. 2, 036105 (2024)

https://doi.org/10.1063/5.0216271

Published: August 2024

View article titled, Deep-learning design of electronic metasurfaces in graphene for quantum control and Dirac electron holography

Journal Articles

Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation

Zheng-Meng Zhai, Mohammadamin Moradi, Shirin Panahi, Zhi-Hua Wang, Ying-Cheng Lai

APL Mach. Learn. 2, 036103 (2024)

https://doi.org/10.1063/5.0207539

Published: July 2024

View article titled, Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation

Journal Articles

Heterogeneous reinforcement learning for defending power grids against attacks

Mohammadamin Moradi, Shirin Panahi, Zheng-Meng Zhai, Yang Weng, John Dirkman, Ying-Cheng Lai

APL Mach. Learn. 2, 026121 (2024)

https://doi.org/10.1063/5.0216874

Published: June 2024

View article titled, Heterogeneous reinforcement learning for defending power grids against attacks

Journal Articles

Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems

Shirin Panahi, Ying-Cheng Lai

Chaos 34, 051501 (2024)

https://doi.org/10.1063/5.0200898

Published: May 2024

View article titled, Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems

Journal Articles

Deep-learning reconstruction of complex dynamical networks from incomplete data

Xiao Ding, Ling-Wei Kong, Hai-Feng Zhang, Ying-Cheng Lai

Chaos 34, 043115 (2024)

https://doi.org/10.1063/5.0201557

Published: April 2024

View article titled, Deep-learning reconstruction of complex dynamical networks from incomplete data

Journal Articles

Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation

Mohammadamin Moradi, Zheng-Meng Zhai, Aaron Nielsen, Ying-Cheng Lai

APL Mach. Learn. 2, 016118 (2024)

https://doi.org/10.1063/5.0189564

Published: March 2024

View article titled, Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation

Journal Articles

Optical properties of two-dimensional Dirac–Weyl materials with a flatband

Li-Li Ye, Chen-Di Han, Ying-Cheng Lai

Appl. Phys. Lett. 124, 060501 (2024)

https://doi.org/10.1063/5.0178936

Published: February 2024

View article titled, Optical properties of two-dimensional Dirac–Weyl materials with a flatband

Journal Articles

Short-lived chimera states

Ling-Wei Kong, Ying-Cheng Lai

Chaos 33, 063127 (2023)

https://doi.org/10.1063/5.0145573

Published: June 2023

View article titled, Short-lived chimera states

Journal Articles

Reservoir computing as digital twins for nonlinear dynamical systems

Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai

Chaos 33, 033111 (2023)

https://doi.org/10.1063/5.0138661

Published: March 2023

View article titled, Reservoir computing as digital twins for nonlinear dynamical systems

Journal Articles

Structural position vectors and symmetries in complex networks

Yong-Shang Long, Zheng-Meng Zhai, Ming Tang, Ying Liu, Ying-Cheng Lai

Chaos 32, 093132 (2022)

https://doi.org/10.1063/5.0107583

Published: September 2022

View article titled, Structural position vectors and symmetries in complex networks

Journal Articles

Beyond Boolean: Ternary networks and dynamics

Yu-Xiang Yao, Jia-Qi Dong, Jie-Ying Zhu, Liang Huang, Duan-Qing Pei, Ying-Cheng Lai

Chaos 32, 083117 (2022)

https://doi.org/10.1063/5.0097874

Published: August 2022

View article titled, Beyond Boolean: Ternary networks and dynamics

Journal Articles

Metamorphoses and explosively remote synchronization in dynamical networks

Yong-Shang Long, Zheng-Meng Zhai, Ming Tang, Ying-Cheng Lai

Chaos 32, 043110 (2022)

https://doi.org/10.1063/5.0088989

Published: April 2022

View article titled, Metamorphoses and explosively remote synchronization in dynamical networks

Journal Articles

Controlled generation of self-sustained oscillations in complex artificial neural networks

Chang Liu, Jia-Qi Dong, Qing-Jian Chen, Zi-Gang Huang, Liang Huang, Hai-Jun Zhou, Ying-Cheng Lai

Chaos 31, 113127 (2021)

https://doi.org/10.1063/5.0069333

Published: November 2021

View article titled, Controlled generation of self-sustained oscillations in complex artificial neural networks

Journal Articles

Finding nonlinear system equations and complex network structures from data: A sparse optimization approach

Ying-Cheng Lai

Chaos 31, 082101 (2021)

https://doi.org/10.1063/5.0062042

Published: August 2021

View article titled, Finding nonlinear system equations and complex network structures from data: A sparse optimization approach

Magazine Articles

Relativistic quantum chaos in graphene

Hong-Ya Xu, Liang Huang, Ying-Cheng Lai

Physics Today 74, 44–49 (2021)

https://doi.org/10.1063/PT.3.4679

Published: February 2021

View article titled, Relativistic quantum chaos in graphene

Journal Articles

Publisher’s Note: “Predicting phase and sensing phase coherence in chaotic systems with machine learning” [Chaos 30 , 083114 (2020)]

Chun Zhang, Junjie Jiang, Shi-Xian Qu, Ying-Cheng Lai

Chaos 30, 089901 (2020)

https://doi.org/10.1063/5.0025053

Published: August 2020

View article titled, Publisher’s Note: “Predicting phase and sensing phase coherence in chaotic systems with machine learning” [Chaos 30 , 083114 (2020)]

Journal Articles

Predicting phase and sensing phase coherence in chaotic systems with machine learning

Chun Zhang, Junjie Jiang, Shi-Xian Qu, Ying-Cheng Lai

Chaos 30, 083114 (2020)

https://doi.org/10.1063/5.0006304

Published: July 2020

View article titled, Predicting phase and sensing phase coherence in chaotic systems with machine learning

Journal Articles

Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

Lin Gao, Celso Grebogi, Ying-Cheng Lai, Julia Stephen, Tongsheng Zhang, Yuanli Li, Haipeng Ren, Dichen Li, Jue Wang, Bjoern Schelter, Linda Sommerlade

Chaos 29, 041101 (2019)

https://doi.org/10.1063/1.5089527

Published: April 2019

View article titled, Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

Includes: Supplementary data

Journal Articles

A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics

Le-Zhi Wang, Zhi-Dan Zhao, Junjie Jiang, Bing-Hui Guo, Xiao Wang, Zi-Gang Huang, Ying-Cheng Lai

Chaos 29, 023136 (2019)

https://doi.org/10.1063/1.5085009

Published: February 2019

View article titled, A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics

Journal Articles

Relativistic quantum chaos—An emergent interdisciplinary field

Ying-Cheng Lai, Hong-Ya Xu, Liang Huang, Celso Grebogi

Chaos 28, 052101 (2018)

https://doi.org/10.1063/1.5026904

Published: May 2018

View article titled, Relativistic quantum chaos—An emergent interdisciplinary field

NARROW

Topics

Deep-learning design of electronic metasurfaces in graphene for quantum control and Dirac electron holography

Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation

Heterogeneous reinforcement learning for defending power grids against attacks

Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems

Deep-learning reconstruction of complex dynamical networks from incomplete data

Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation

Optical properties of two-dimensional Dirac–Weyl materials with a flatband

Short-lived chimera states

Reservoir computing as digital twins for nonlinear dynamical systems

Structural position vectors and symmetries in complex networks

Beyond Boolean: Ternary networks and dynamics

Metamorphoses and explosively remote synchronization in dynamical networks

Controlled generation of self-sustained oscillations in complex artificial neural networks

Finding nonlinear system equations and complex network structures from data: A sparse optimization approach

Relativistic quantum chaos in graphene

Publisher’s Note: “Predicting phase and sensing phase coherence in chaotic systems with machine learning” [Chaos 30 , 083114 (2020)]

Predicting phase and sensing phase coherence in chaotic systems with machine learning

Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics

Relativistic quantum chaos—An emergent interdisciplinary field

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