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Taming chimeras in coupled oscillators using soft actor-critic based reinforcement learning.
Chaos
January 2025
Complex Systems Group, Department of Mathematics and Statistics, The University of Western Australia, Crawley, Western Australia 6009, Australia.
We propose a universal method based on deep reinforcement learning (specifically, soft actor-critic) to control the chimera state in the coupled oscillators. The policy for control is learned by maximizing the expectation of the cumulative reward in the reinforcement learning framework. With the aid of the local order parameter, we design a class of reward functions for controlling the chimera state, specifically confining the spatial position of coherent and incoherent domains to any desired lateral position of oscillators.
View Article and Find Full Text PDFIdentity and Temporal Fragmentation in Borderline Personality Disorder: A Systematic Review.
Brain Sci
November 2024
Department of Health Sciences, University of Florence, 50121 Florence, Italy.
Background: Borderline Personality Disorder (BPD) is a prevalent psychopathological condition, affecting 0.7-2.7% of the general population.
View Article and Find Full Text PDFMetastability of multi-population Kuramoto-Sakaguchi oscillators.
Chaos
January 2025
Department of Physics, Tohoku University, Sendai 980-8578, Japan.
An Ott-Antonsen reduced M-population of Kuramoto-Sakaguchi oscillators is investigated, focusing on the influence of the phase-lag parameter α on the collective dynamics. For oscillator populations coupled on a ring, we obtained a wide variety of spatiotemporal patterns, including coherent states, traveling waves, partially synchronized states, modulated states, and incoherent states. Back-and-forth transitions between these states are found, which suggest metastability.
View Article and Find Full Text PDFSpectral convolutional neural network chip for in-sensor edge computing of incoherent natural light.
Nat Commun
January 2025
Department of Electronic Engineering, Tsinghua University, Beijing, China.
Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional neural network (SCNN) with matter meta-imaging. The optical convolutional layer is implemented by integrating very large-scale and pixel-aligned spectral filters on CMOS image sensor.
View Article and Find Full Text PDFSpatiotemporal Spectroscopy of Fast Excited-State Diffusion in 2D Covalent Organic Framework Thin Films.
J Am Chem Soc
January 2025
Department of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstraße 5-13, Munich 81377, Germany.
Covalent organic frameworks (COFs), crystalline and porous conjugated structures, are of great interest for sustainable energy applications. Organic building blocks in COFs with suitable electronic properties can feature strong optical absorption, whereas the extended crystalline network can establish a band structure enabling long-range coherent transport. This peculiar combination of both molecular and solid-state materials properties makes COFs an interesting platform to study and ultimately utilize photoexcited charge carrier diffusion.
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