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Works (7)
Updated: April 15th, 2024 08:54
2024 journal article
Chemistry does general relativity: reaction-diffusion waves can model gravitational lensing
FRONTIERS IN PHYSICS, 11.
author keywords: Belousov-Zhabotinsky reaction; gravitational lensing; reaction-diffusion waves; general relativity; Barkley model; Python (programming language); Mathematica (programming language)
www.frontiersin.org (publisher PDF)
Source: Web Of Science
Added: February 12, 2024
2024 journal article
Light-Sensitive Diffusion Diodes for Reaction-Diffusion Waves
INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING, 19(1), 1–15.
author keywords: cient; Diode effect; fast inhibitor diffusion region; fast propagation region; light-sensitivity; nonlinear wave; numerical simulation; reaction-diffusion wave; Tyson-Fife model
Source: Web Of Science
Added: February 19, 2024
2023 journal article
Neuronal diversity can improve machine learning for physics and beyond
SCIENTIFIC REPORTS, 13(1).
Sources: Web Of Science, ORCID
Added: April 8, 2024
2023 journal article
Solving quantum billiard eigenvalue problems with physics-informed machine learning
AIP ADVANCES, 13(8).
TL;DR:
This work generalizes an unsupervised learning algorithm to find the particles’ eigenvalues and eigenfunctions, even in cases where the eigen values are degenerate, including particles confined to rectangle-, ellipse-, triangle-, and cardioid-shaped boxes.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 28, 2023
2022 journal article
Alien suns reversing in exoplanet skies
SCIENTIFIC REPORTS, 12(1).
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
Source: Web Of Science
Added: June 13, 2022
2021 journal article
Forecasting Hamiltonian dynamics without canonical coordinates
NONLINEAR DYNAMICS, 103(2), 1553–1562.
author keywords: Neural networks; Hamiltonian dynamics; Canonical coordinates; Time series forecasting
TL;DR:
This work prepend a conventional neural network to a Hamiltonian neural network and shows that the combination accurately forecasts Hamiltonian dynamics from generalised noncanonical coordinates.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Web Of Science, ORCID
Added: February 8, 2021
2021 journal article
Negotiating the separatrix with machine learning
IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 12(2), 134–142.
author keywords: machine learning; neural networks; Hamiltonian dynamics
TL;DR:
This work uses the framework of Hamiltonian Neural Networks (HNN) to learn the complex dynamics of nonlinear single and double pendulums, which can both librate and rotate, by mapping the unbounded phase space onto a compact cylinder.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Web Of Science, ORCID
Added: April 1, 2021
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