ERD

Stability analysis of chaotic systems from data

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Hard-constrained neural networks for modelling nonlinear acoustics

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Real-time thermoacoustic data assimilation

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

A physical model for indirect noise in non-isentropic nozzles: transfer functions and stability

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Short and straight: Geodesics on differentiable manifolds

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Data-driven modeling for drop size distributions

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Data-driven prediction and control of extreme events in a chaotic flow

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Compositional noise in nozzles with dissipation

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Convolutional autoencoded echo state network forthe prediction of extreme events in turbulence

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Sound Generation in Multicomponent Nozzle Flows With Dissipation

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos

Project: PhyCo

Updated at: 27-04-2024

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Physics-aware learning of nonlinear limit cycles and adjoint limit cycles

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Statistical prediction of extreme events from small datasets

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Indirect noise from weakly reacting inhomogeneities

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Data-driven stability analysis of a chaotic time-delayed system

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Reconstruction, forecasting, and stability of chaotic dynamics from partial data

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

A Hybrid Adjoint Network Model for Thermoacoustic Optimization

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Gradient-free optimization of chaotic acoustics with reservoir computing

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

High sensitivity of indirect noise predictions in non-isentropic nozzles

Project: PhyCo

Updated at: 27-04-2024

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Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model

Project: PhyCo

Updated at: 27-04-2024

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Project acronym PhyCo

Resources

Selected filters:

Stability analysis of chaotic systems from data

Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels

Hard-constrained neural networks for modelling nonlinear acoustics

Real-time thermoacoustic data assimilation

A physical model for indirect noise in non-isentropic nozzles: transfer functions and stability

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events

Short and straight: Geodesics on differentiable manifolds

Data-driven modeling for drop size distributions

Data-driven prediction and control of extreme events in a chaotic flow

Compositional noise in nozzles with dissipation

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Convolutional autoencoded echo state network forthe prediction of extreme events in turbulence

Sound Generation in Multicomponent Nozzle Flows With Dissipation

Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos

Physics-aware learning of nonlinear limit cycles and adjoint limit cycles

Statistical prediction of extreme events from small datasets

Indirect noise from weakly reacting inhomogeneities

Data-driven stability analysis of a chaotic time-delayed system

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems

Reconstruction, forecasting, and stability of chaotic dynamics from partial data

Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics

A Hybrid Adjoint Network Model for Thermoacoustic Optimization

Gradient-free optimization of chaotic acoustics with reservoir computing

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems

High sensitivity of indirect noise predictions in non-isentropic nozzles

Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model