Particle model of creation and annihilation captures termination dynamics of spiral defect chaos [0.03%]
粒子模型的产生和湮灭捕获了螺旋缺陷混沌的终止动力学规律
Timothy J Tyree,Michael Reiss,Wouter-Jan Rappel
Timothy J Tyree
Excitable media, including a cardiac tissue, can exhibit spiral defect chaos (SDC), during which spiral waves are continuously created and annihilated. Simulating this behavior typically requires solving large-scale reaction-diffusion syste...
Toprak Firat,Deniz Eroglu
Toprak Firat
Urban traffic modeling is essential for understanding and mitigating congestion, yet existing approaches face a trade-off between realism and scalability. Microscopic agent-based simulators capture individual vehicle behavior but are comput...
Stability analysis and control of multi-vibro-impact capsule systems with distributed interactions [0.03%]
分布式相互作用多振动冲击胶囊系统的稳定性分析与控制
Ruohan Mi,Jinwei Yu
Ruohan Mi
The vibro-impact capsule system has been a focal point of extensive research over the past decade, owing to its inherent challenges as a piecewise-smooth dynamical system and its significant applications across engineering and healthcare te...
Weak signal amplification induced by oscillator diversity in a globally coupled bistable system [0.03%]
耦合二稳态系统中振子多样性诱导的微弱信号放大
Shanshan Cheng,Yage Zheng,Yashi Zhang et al.
Shanshan Cheng et al.
Neuron diversity in the brain can effectively process and amplify the signal, and enhance the response of biological systems to weak signals. Weak signal amplification in a globally coupled network of the FitzHugh-Nagumo (FHN) oscillators i...
Gerard McCaul,Juan Sebastian Totero Gongora,Wendy Otieno et al.
Gerard McCaul et al.
We investigate a minimal architecture for quantum reservoir computing based on Hamiltonian encoding, in which input data are injected via modulation of system parameters rather than state preparation. This approach circumvents many of the e...
Echo state and band-pass networks with aqueous memristors: Leaky reservoir computing with a leaky substrate [0.03%]
具有水基忆阻器的回声状态和带通网络：具有泄漏衬底的泄漏水库计算
T M Kamsma,J J Teijema,R van Roij et al.
T M Kamsma et al.
Recurrent Neural Networks (RNNs) are extensively employed for processing sequential data such as time series. Reservoir computing (RC) has drawn attention as an RNN framework due to its fixed network that does not require training, making i...
Predicting copper recovery from flotation using machine learning and laboratory-generated data [0.03%]
基于机器学习和实验室数据预测铜的浮选回收率
José Benítez,Víctor Flores,Sergio Curilef et al.
José Benítez et al.
The efficient extraction of copper is becoming increasingly complex due to the declining availability of high-grade ore deposits and the implementation of more rigorous environmental standards. These constraints have heightened the demand f...
Controlling complex rhythms: A hierarchical approach to limit cycle switching [0.03%]
复杂节奏的控制：极限循环切换的分层方法
Suvam Pal,Dibakar Ghosh,Sandip Saha
Suvam Pal
Limit cycles are self-sustained, closed trajectories in phase space representing (un)-stable, periodic behavior in nonlinear dynamical systems. They underpin diverse natural phenomena, from neuronal firing patterns to engineering oscillatio...
Confabulation dynamics in a reservoir computer: Filling in the gaps with untrained attractors [0.03%]
共振池计算中的confabulation动力学：用未经训练的吸引子填补空白
Jack O&#x;Hagan,Andrew Keane,Andrew Flynn
Jack O&#x;Hagan
Artificial intelligence has advanced significantly in recent years, thanks to innovations in the design and training of artificial neural networks (ANNs). Despite these advancements, we still understand relatively little about how elementar...
Yu Chen,Bin-Quan Li
Yu Chen
Although natural selection systematically favors defectors over cooperators in unstructured populations, evolutionary dynamics in structured populations reveal substantially greater complexity. Moreover, multi-game environments have emerged...