mlsanityData to 7 Oct 2026

Analogue and Physical Reservoir Computing Using Water Waves

arXiv 2306.09095 ↗First posted 15 Jun 2023physics.flu-dyn cs.AI nlin.CDcited by 16

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Abstract (arXiv)

More than 3.5 billion people live in rural areas, where water and water energy resources play an important role in ensuring sustainable and productive rural economies. This article reviews and critically analyses the recent advances in the field of analogue and reservoir computing that have been driven by unique physical properties and energy of water waves. It also demonstrates that analogue and reservoir computing hold the potential to bring artificial intelligence closer to people living outside large cities, thus enabling them to enjoy the benefits of novel technologies that already work in large cities but are not readily available and suitable for regional communities.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 17 of its 159 references that are in the map. First posted on arXiv 15 Jun 2023.

Builds on

17 of 159 references.

References · 17

  1. 2021Next Generation Reservoir Computingcited by 160
  2. 2020Physical reservoir computing -- An introductory perspectivecited by 58
  3. 2019Wave Physics as an Analog Recurrent Neural Networkcited by 42
  4. 2020Surrogate gradients for analog neuromorphic computingcited by 38
  5. 2019Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radiuscited by 34
  6. 2019Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitonscited by 19
  7. 2019A Unifying Framework for Information Processing in Stochastically Driven Dynamical Systemscited by 16
  8. 2020Physics-Informed Echo State Networkscited by 16
  9. 2022A perspective on physical reservoir computing with nanomagnetic devicescited by 12
  10. 2016Harnessing disordered quantum dynamics for machine learningcited by 10
  11. 2021Neural Echo State Network using oscillations of gas bubbles in watercited by 6
  12. 2018Efficient Design of Hardware-Enabled Reservoir Computing in FPGAscited by 5
5 more
  1. 2020Efficient implementations of echo state network cross-validationcited by 5
  2. 2023A New Paradigm of Reservoir Computing Exploiting Hydrodynamicscited by 5
  3. 2023Reservoir computing based on solitary-like waves dynamics of film flows: a proof of conceptcited by 5
  4. 2015Stabilising falling liquid film flows using feedback controlcited by 1
  5. 2023Musical creativity enabled by nonlinear oscillations of a bubble in watercited by 1

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Cited by year

Citing papers per year: 2023: 2; 2024: 5; 2025: 9.

16 papers.

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  1. 2024Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspectivecited by 9
  2. 2023Quantum-Inspired Neural Network Model of Optical Illusionscited by 7
  3. 2024Reservoir Computing Using Measurement-Controlled Quantum Dynamicscited by 7
  4. 2024Quantum-tunnelling deep neural network for optical illusion recognitioncited by 6
  5. 2023The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamicscited by 5
  6. 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Datacited by 5
  7. 2024Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulationscited by 4
  8. 2025Full-Precision and Ternarised Neural Networks with Tunnel-Diode Activation Functions: Computing and Physics Perspectivescited by 3
  9. 2025Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regimecited by 2
  10. 2025TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learningcited by 2
  11. 2025Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computingcited by 1
  12. 2025Traveling Waves Integrate Spatial Information Through Timecited by 0
4 more
  1. 2025Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applicationscited by 0
  2. 2025Resonant-Tunnelling Diode Reservoir Computing System for Image Recognitioncited by 0
  3. 2025BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamicscited by 0
  4. 2025BOND: License to Train with Black-Box Functionscited by 0