1 citations · 2 across the 5 of their papers we have counts for
12 papers
Entropy Structure Informed Learning for Inverse XDE Problems
Yan Jiang, Wuyue Yang, Yi Zhu +1
Entropy, since its first discovery by Ludwig Boltzmann in 1877, has been widely applied in diverse disciplines, including thermodynamics, continuum mechanics, mathematical analysis…
Identification of hydrodynamic instability by convolutional neural networks
Wuyue Yang, Liangrong Peng, Yi Zhu +1
The onset of hydrodynamic instabilities is of great importance in both industry and daily life, due to the dramatic mechanical and thermodynamic changes for different types of flow…
When Machine Learning Meets Multiscale Modeling in Chemical Reactions
Wuyue Yang, Liangrong Peng, Yi Zhu +1
Due to the intrinsic complexity and nonlinearity of chemical reactions, direct applications of traditional machine learning algorithms may face with many difficulties. In this stud…
Revealing hidden dynamics from time-series data by ODENet
Pipi Hu, Wuyue Yang, Yi Zhu +1
To derive the hidden dynamics from observed data is one of the fundamental but also challenging problems in many different fields. In this study, we propose a new type of interpret…
The Statistical Foundation of Entropy in Extended Irreversible Thermodynamics
Liu Hong, Hong Qian
In the theory of extended irreversible thermodynamics (EIT), the flux-dependent entropy function plays a key role and has a fundamental distinction from the usual flux-independent…
Epidemic analysis of COVID-19 in China by dynamical modeling
Liangrong Peng, Wuyue Yang, Dongyan Zhang +2
The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based…