2 citations · 3 across the 10 of their papers we have counts for
11 papers
Digital Twins of Networked Dynamical Systems: Machine Learning Prediction of Synchronization Transitions in Coupled Chaotic Oscillators
Huawei Fan, Yao Du, Meng-Xia Bi +2
Collective behaviors such as synchronization transitions are emergent properties of coupled oscillator systems, and how to reproduce them from data for large-scale systems remains…
Beyond the Edge of Chaos: Stability-Expressivity Transfer in Reservoir Forecasting
Yao Du, Xingang Wang
The edge-of-chaos heuristic has long served as a guiding principle for designing reservoir computers, yet its relevance to machine performance remains elusive. Here, taking the spe…
Evolution-Level Quantum Optimal Control of Single-Qubit Gates with Physics-Informed Neural Networks
Yao Du, Jian-Jian Cheng, Lin Zhang +2
Quantum gate design is often represented as pulse optimization, although the physical object that implements a gate is the full controlled evolution generated by the pulse. Here we…
Inferring bifurcation diagrams of two distinct chaotic systems by a single machine
Jianmin Guo, Yao Du, Yizhen Yu +2
We propose a dual-channel reservoir-computing scheme for inferring the dynamics of two distinct chaotic systems with a single machine. By augmenting a standard reservoir with a sys…
Versatile Reservoir Computing for Heterogeneous Complex Networks
Yao Du, Huawei Fan, Xingang Wang
A new machine learning scheme, termed versatile reservoir computing, is proposed for sustaining the dynamics of heterogeneous complex networks. We show that a single, small-scale r…
Sustaining the dynamics of Kuramoto model by adaptable reservoir computer
Haibo Luo, Mengru Wang, Yao Du +3
A scenario frequently encountered in real-world complex systems is the temporary failure of a few components. For systems whose functionality hinges on the collective dynamics of t…
Multi-functional reservoir computing
Yao Du, Haibo Luo, Jianmin Guo +3
Whereas the power of reservoir computing (RC) in inferring chaotic systems has been well established in the literature, the studies are mostly restricted to mono-functional machine…
Scalable synchronization cluster in networked chaotic oscillators
Huawei Fan, Yafeng Wang, Yao Du +2
Cluster synchronization in synthetic networks of coupled chaotic oscillators is investigated. It is found that despite the asymmetric nature of the network structure, a subset of t…
Reconstructing bifurcation diagrams of chaotic circuits with reservoir computing
Haibo Luo, Yao Du, Huawei Fan +3
Model-free reconstruction of the bifurcation diagrams of Chua's circuits by the technique of parameter-aware reservoir computing is investigated. We demonstrate that: (1) reservoir…
Inferring Attracting Basins of Power System with Machine Learning
Yao Du, Qing Li, Huawei Fan +3
Power systems dominated by renewable energy encounter frequently large, random disturbances, and a critical challenge faced in power-system management is how to anticipate accurate…
Learning the dynamics of coupled oscillators from transients
Huawei Fan, Liang Wang, Yao Du +3
Whereas the importance of transient dynamics to the functionality and management of complex systems has been increasingly recognized, most of the studies are based on models. Yet i…