Sabrina Camargo,Nahuel Zamponi,Daniel A Martin et al.
Sabrina Camargo et al.
Scale invariance is a ubiquitous observation in the dynamics of large distributed complex systems. The computation of its scaling exponents, which provide clues on its origin, is often hampered by the limited available sampling data, making...
Detecting causality based on state space reconstruction from interspike intervals for neural spike trains [0.03%]
基于神经脉冲列的间隔检测因果关系的状态空间重建方法
Kazuya Sawada,Yutaka Shimada,Tohru Ikeguchi
Kazuya Sawada
System analysis depends critically on the identification of the connections-especially the causal relationships-that exist between the components of the system. In particular, the causal relationships connecting neurons in brains, whose act...
From champagne to confined polymer: Natural and artificial bubble nucleation [0.03%]
从香槟到受限聚合物：自然和人工气泡形核
Carlos Arauz-Moreno,Keyvan Piroird,Elise Lorenceau
Carlos Arauz-Moreno
In this study, we present an experimental work on bubble nucleation and growth using a model system comprised of viscoelastic polyvinyl butyral confined in a Hele-Shaw cell geometry that is decompressed at elevated temperatures. The appeara...
Stephen Whitelam
Stephen Whitelam
Estimating free-energy differences using nonequilibrium work relations, such as the Jarzynski equality, is hindered by poor convergence when work fluctuations are large. For systems governed by overdamped Langevin dynamics, we propose the c...
Time-dependent trajectory of a one-dimensional Gaussian non-Markovian observable does not reveal its nonequilibrium character [0.03%]
一维非马尔可夫观测量的时间依赖轨迹无法揭示其非平衡特性
Roland R Netz
Roland R Netz
When analyzing experimental or simulation time-series data, the question arises whether it is possible to tell from the mere observation of the time-dependent trajectory of a one-dimensional observable whether the system is in equilibrium o...
Nonmodal amplitude equations [0.03%]
非模幅值方程
Yves-Marie Ducimetière,François Gallaire
Yves-Marie Ducimetière
We consider fluid flows for which the linearized Navier-Stokes operator is strongly nonnormal. The responses of such flows to external perturbations are spanned by a generically very large number of nonorthogonal eigenmodes. They are theref...
Quest for new materials: Network theory and machine learning perspectives [0.03%]
基于网络理论和机器学习的新材料探索研究
Jacopo Moi,Davide Spallarossa,Stefano Bonetti et al.
Jacopo Moi et al.
Understanding and predicting the emergence of novel materials is a fundamental challenge in condensed matter physics, materials science, and technology. With the rapid growth of materials databases in both size and reliability, the challeng...
Critical habitat size of organisms diffusing with stochastic resetting [0.03%]
具随机重置效应的扩散群体的临界生存栖息地大小上限
Luiz Menon,Pablo de Castro,Celia Anteneodo
Luiz Menon
The persistence of populations depends on the minimum habitat area required for survival, known as the critical patch size. While most studies assume purely diffusive movement, additional movement components can significantly alter habitat ...
Power-efficiency trade-off for the finite-time quantum harmonic Otto heat engine via a phase-space approach [0.03%]
相空间方法下的有限时间量子谐振奥托热机的性能与效率权衡关系研究
Hyun-Myung Chun,Jong-Min Park
Hyun-Myung Chun
Thermodynamic constraints impose a trade-off between power and efficiency in heat engines, preventing the simultaneous achievement of high power and high efficiency. For classical microscopic engines, explicit inequalities have been discove...
Dynamical properties of particulate composites derived from ultradense stealthy hyperuniform sphere packings [0.03%]
源于超密集隐身均匀球体堆积的颗粒复合材料的动力学性质研究
Carlo Vanoni,Jaeuk Kim,Paul J Steinhardt et al.
Carlo Vanoni et al.
Stealthy hyperuniform (SHU) many-particle systems in d-dimensional Euclidean space are distinguished by a structure factor that vanishes not only at zero wave number (as in "standard" hyperuniform systems) but also across an extended range ...