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Impact of Band‐gap Gradient in Semi‐Transparent and Bifacial Ultra‐Thin Cu(In,Ga)Se2 Solar Cells

Advanced materials interfaces, 2024-05, Vol.11 (13), p.n/a

2024

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Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing

Chaos (Woodbury, N.Y.), 2019-10, Vol.29 (10)

2019

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Breaking symmetries of the reservoir equations in echo state networks

Chaos (Woodbury, N.Y.), 2020-12, Vol.30 (12)

2020

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Optimizing the combination of data-driven and model-based elements in hybrid reservoir computing

Chaos (Woodbury, N.Y.), 2023-10, Vol.33 (10)

2023

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Controlling nonlinear dynamical systems into arbitrary states using machine learning

Scientific reports, 2021-06, Vol.11 (1), p.12991-12991, Article 12991

2021

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A novel approach to minimal reservoir computing

Scientific reports, 2023-08, Vol.13 (1), p.12970-12970, Article 12970

2023

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Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning

Scientific reports, 2024-01, Vol.14 (1), p.507-507, Article 507

2024

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Reducing network size and improving prediction stability of reservoir computing

Chaos (Woodbury, N.Y.), 2020-06, Vol.30 (6)

2020

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Efficient forecasting of chaotic systems with block-diagonal and binary reservoir computing

Chaos (Woodbury, N.Y.), 2023-06, Vol.33 (6)

2023

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Weight fluctuations in deep linear neural networks and a derivation of the inverse-variance flatness relation

Physical review research, 2024-07, Vol.6 (3), Article 033103

2024

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Identifying causality drivers and deriving governing equations of nonlinear complex systems

Chaos (Woodbury, N.Y.), 2022-10, Vol.32 (10)

2022

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Symmetry kills the square in a multifunctional reservoir computer

Chaos (Woodbury, N.Y.), 2021-07, Vol.31 (7)

2021

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Predicting high-dimensional heterogeneous time series employing generalized local states

Physical review research, 2021-06, Vol.3 (2), Article 023215

2021

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Phase walk analysis of leptokurtic time series

Chaos (Woodbury, N.Y.), 2018-06, Vol.28 (6)

2018

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Turbulence in an Auto-Oscillating Complex Plasma

IEEE transactions on plasma science, 2018-04, Vol.46 (4), p.684-687

2018

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Impact of Band‐gap Gradient in Semi‐Transparent and Bifacial Ultra‐Thin Cu(In,Ga)Se 2 Solar Cells

Advanced materials interfaces, 2024-05, Vol.11 (13)

2024

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Surrogate-assisted network analysis of nonlinear time series

Chaos (Woodbury, N.Y.), 2016-10, Vol.26 (10)

2016

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Morphometry on the sphere: Cartesian and irreducible Minkowski tensors explained and implemented

Communications physics, 2024-07, Vol.7 (1), p.254-10, Article 254

2024

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Image Registration with Particles, Examplified with the Complex Plasma Laboratory PK-4 on Board the International Space Station

Journal of imaging, 2019-03, Vol.5 (3), p.39

2019

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Benchmarking Particle Image Velocimetry Measurements Applied to Dusty Plasmas

IEEE transactions on plasma science, 2010-04, Vol.38 (4), p.892-896

2010

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Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-7

2023

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Cortical and trabecular bone structure analysis at the distal radius—prediction of biomechanical strength by DXA and MRI

Journal of bone and mineral metabolism, 2013-03, Vol.31 (2), p.212-221

2013

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A fast reservoir computing based image encryption algorithm

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-7

2023

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Electrorheological Complex Plasmas

IEEE transactions on plasma science, 2010-04, Vol.38 (4), p.733-740

2010

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Benchmarking reservoir computing for residential energy demand forecasting

Energy and buildings, 2024-07, Vol.314, p.114236, Article 114236

2024

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Impact of Band‐gap Gradient in Semi‐Transparent and Bifacial Ultra‐Thin Cu(In,Ga)Se2 Solar Cells

Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing

Breaking symmetries of the reservoir equations in echo state networks

Optimizing the combination of data-driven and model-based elements in hybrid reservoir computing

Controlling nonlinear dynamical systems into arbitrary states using machine learning

A novel approach to minimal reservoir computing

Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning

Reducing network size and improving prediction stability of reservoir computing

Efficient forecasting of chaotic systems with block-diagonal and binary reservoir computing

Weight fluctuations in deep linear neural networks and a derivation of the inverse-variance flatness relation

Identifying causality drivers and deriving governing equations of nonlinear complex systems

Symmetry kills the square in a multifunctional reservoir computer

Predicting high-dimensional heterogeneous time series employing generalized local states

Phase walk analysis of leptokurtic time series

Turbulence in an Auto-Oscillating Complex Plasma

Impact of Band‐gap Gradient in Semi‐Transparent and Bifacial Ultra‐Thin Cu(In,Ga)Se 2 Solar Cells

Surrogate-assisted network analysis of nonlinear time series

Morphometry on the sphere: Cartesian and irreducible Minkowski tensors explained and implemented

Image Registration with Particles, Examplified with the Complex Plasma Laboratory PK-4 on Board the International Space Station

Benchmarking Particle Image Velocimetry Measurements Applied to Dusty Plasmas

Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing

Cortical and trabecular bone structure analysis at the distal radius—prediction of biomechanical strength by DXA and MRI

A fast reservoir computing based image encryption algorithm

Electrorheological Complex Plasmas

Benchmarking reservoir computing for residential energy demand forecasting

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