Exploring Nonlinear System with Machine Learning: Chua and Lorenz Circuits Analyzed
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhe, Fan, Haixia, Zhang, Jiyuan, Wang, Xiao-Yun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-based Machine Learning Discovered Nano-circuitry for Nonlinear Ion Transport in Nanoporous Electrodes
by: Zhan, Hualin, et al.
Published: (2020)
by: Zhan, Hualin, et al.
Published: (2020)
Quantum Computing and Atmospheric Dynamics: Exploring the Lorenz System
by: Armaos, V., et al.
Published: (2024)
by: Armaos, V., et al.
Published: (2024)
Gravitational form factors of the proton from near-threshold vector meson photoproduction
by: Wang, Xiao-Yun, et al.
Published: (2023)
by: Wang, Xiao-Yun, et al.
Published: (2023)
New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography
by: Cossins, Matthew John, et al.
Published: (2024)
by: Cossins, Matthew John, et al.
Published: (2024)
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
by: Ramachandruni, Vasista, et al.
Published: (2025)
by: Ramachandruni, Vasista, et al.
Published: (2025)
Programmable Nonlinear Quantum Photonic Circuits
by: Nielsen, Kasper H., et al.
Published: (2024)
by: Nielsen, Kasper H., et al.
Published: (2024)
GPU-MetaD: Full-Life-Cycle GPU Accelerated Metadynamics with Machine Learning Potentials
by: Zhang, Haoting, et al.
Published: (2025)
by: Zhang, Haoting, et al.
Published: (2025)
A Modified Bisecting K-Means for Approximating Transfer Operators: Application to the Lorenz Equations
by: Souza, Andre N., et al.
Published: (2024)
by: Souza, Andre N., et al.
Published: (2024)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
by: Wang, Shengbo, et al.
Published: (2024)
by: Wang, Shengbo, et al.
Published: (2024)
Scaling Machine Learning Interatomic Potentials with Mixtures of Experts
by: Liu, Yuzhi, et al.
Published: (2026)
by: Liu, Yuzhi, et al.
Published: (2026)
On the Computational Entanglement of Distant Features in Adversarial Machine Learning
by: Lai, YenLung, et al.
Published: (2023)
by: Lai, YenLung, et al.
Published: (2023)
Machine Learning for Ground State Preparation via Measurement and Feedback
by: Wang, Chuanxin, et al.
Published: (2025)
by: Wang, Chuanxin, et al.
Published: (2025)
Self-Consistent Numerical Framework for Multiscale Circuit-Plasma Coupling with Secondary Electron Emission
by: Kim, Hongbin, et al.
Published: (2026)
by: Kim, Hongbin, et al.
Published: (2026)
GPUTB: Efficient Machine Learning Tight-Binding Method for Large-Scale Electronic Properties Calculations
by: Wang, Yunlong, et al.
Published: (2025)
by: Wang, Yunlong, et al.
Published: (2025)
Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
by: Zhang, Shikun, et al.
Published: (2024)
by: Zhang, Shikun, et al.
Published: (2024)
Efficient Online Quantum Circuit Learning with No Upfront Training
by: O'Leary, Tom, et al.
Published: (2025)
by: O'Leary, Tom, et al.
Published: (2025)
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning
by: Wang, Shengbo, et al.
Published: (2024)
by: Wang, Shengbo, et al.
Published: (2024)
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics
by: Jekel, C. F., et al.
Published: (2024)
by: Jekel, C. F., et al.
Published: (2024)
A Novel Chua Circuit With Hyperbolic Tangent Nonlinearity for Brain‐Inspired Dynamics and Stable Delta Rhythm Generation
by: Faiza Zaamoune, et al.
Published: (2026)
by: Faiza Zaamoune, et al.
Published: (2026)
SCULPT: An Interactive Machine Learning Platform for Analyzing Multi-Particle Coincidence Data from Cold Target Recoil Ion Momentum Spectroscopy
by: Daoud, Hazem, et al.
Published: (2025)
by: Daoud, Hazem, et al.
Published: (2025)
QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance
by: Herb, Dennis, et al.
Published: (2025)
by: Herb, Dennis, et al.
Published: (2025)
Advancing Machine Learning Applications in Quantum Few-Body Systems
by: Ziqi, Jin, et al.
Published: (2026)
by: Ziqi, Jin, et al.
Published: (2026)
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)
by: Li, Yun, et al.
Published: (2025)
History-Dependent Dynamical Invariants in the Lorenz System
by: Toledo, B. A.
Published: (2025)
by: Toledo, B. A.
Published: (2025)
A Particle-in-cell Method for Plasmas with a Generalized Momentum Formulation, Part II: Enforcing the Lorenz Gauge Condition
by: Christlieb, Andrew J., et al.
Published: (2024)
by: Christlieb, Andrew J., et al.
Published: (2024)
Deep-Learning-Empowered Programmable Topolectrical Circuits
by: Jia, Hao, et al.
Published: (2025)
by: Jia, Hao, et al.
Published: (2025)
Exploring the Role of Artificial Intelligence and Machine Learning in Process Optimization for Chemical Industry
by: Lin, Zishuo, et al.
Published: (2025)
by: Lin, Zishuo, et al.
Published: (2025)
Measurement-Efficient Variational Quantum Linear Solver for Carleman-Linearized Nonlinear Dynamics
by: Liu, Yunya, et al.
Published: (2026)
by: Liu, Yunya, et al.
Published: (2026)
Evolution of Chaos in the Matsumoto-Chua Circuit: a Symbolic Dynamics Approach
by: Dariel M. Maranhào
Published: (2005)
by: Dariel M. Maranhào
Published: (2005)
Adaptive Sensing of Continuous Physical Systems for Machine Learning
by: Köster, Felix, et al.
Published: (2026)
by: Köster, Felix, et al.
Published: (2026)
Universal Machine Learning Potential for Systems with Reduced Dimensionality
by: Benedini, Giulio, et al.
Published: (2025)
by: Benedini, Giulio, et al.
Published: (2025)
Machine Learning Wavefunction
by: Battaglia, Stefano
Published: (2022)
by: Battaglia, Stefano
Published: (2022)
A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors
by: Martinka, Jakub, et al.
Published: (2025)
by: Martinka, Jakub, et al.
Published: (2025)
All-Optical Deep Learning with Quantum Nonlinearity
by: Zhou, Qingyi, et al.
Published: (2026)
by: Zhou, Qingyi, et al.
Published: (2026)
Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design
by: Wang, Haiyan
Published: (2025)
by: Wang, Haiyan
Published: (2025)
A Lorenz Model for an Anelastic Oberbeck-Boussinesq System
by: Grandi, Diego, et al.
Published: (2024)
by: Grandi, Diego, et al.
Published: (2024)
CDFCI: High-Performance Parallel Software for Many-Body Large-Scale Eigenvalue Problems
by: Zhang, Yuejia, et al.
Published: (2026)
by: Zhang, Yuejia, et al.
Published: (2026)
FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling
by: Wang, Qing, et al.
Published: (2024)
by: Wang, Qing, et al.
Published: (2024)
Accelerated Machine Learning Force Field for Predicting Thermal Conductivity of Organic Liquids
by: Feng, Wei, et al.
Published: (2025)
by: Feng, Wei, et al.
Published: (2025)
Similar Items
-
Physics-based Machine Learning Discovered Nano-circuitry for Nonlinear Ion Transport in Nanoporous Electrodes
by: Zhan, Hualin, et al.
Published: (2020) -
Quantum Computing and Atmospheric Dynamics: Exploring the Lorenz System
by: Armaos, V., et al.
Published: (2024) -
Gravitational form factors of the proton from near-threshold vector meson photoproduction
by: Wang, Xiao-Yun, et al.
Published: (2023) -
New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography
by: Cossins, Matthew John, et al.
Published: (2024) -
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
by: Ramachandruni, Vasista, et al.
Published: (2025)