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09/20/2023
Model-free tracking control of complex dynamical trajectories with machine learning
Nonlinear tracking control enabling a dynamical system to track a desire...
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09/20/2023
Digital twins of nonlinear dynamical systems: A perspective
Digital twins have attracted a great deal of recent attention from a wid...
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12/13/2022
Generating extreme quantum scattering in graphene with machine learning
Graphene quantum dots provide a platform for manipulating electron behav...
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11/15/2022
Emergence of a stochastic resonance in machine learning
Can noise be beneficial to machine-learning prediction of chaotic system...
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03/31/2022
Predicting extreme events from data using deep machine learning: when and where
We develop a deep convolutional neural network (DCNN) based framework fo...
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03/15/2021
Tomography of time-dependent quantum spin networks with machine learning
Interacting spin networks are fundamental to quantum computing. Data-bas...
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03/13/2021
Anticipating synchronization with machine learning
In applications of dynamical systems, situations can arise where it is d...
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02/25/2021
Adaptable Hamiltonian neural networks
The rapid growth of research in exploiting machine learning to predict c...
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12/02/2020
Machine learning prediction of critical transition and system collapse
To predict a critical transition due to parameter drift without relying ...
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10/10/2019
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
A common difficulty in applications of machine learning is the lack of a...
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06/24/2003