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| Open AccessSize limits the sensitivity of kinetic schemes
Living things rely on extremely sensitive molecular circuits. Here, authors uncover a universal structural limit on kinetic scheme sensitivity, with implications for gene regulation & the functions of condensates.
- Jeremy A. Owen
- & Jordan M. Horowitz
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Article
| Open AccessKagome qubit ice
A kagome lattice spin-ice system is created with the superconducting qubits of a quantum annealer, and shown to exhibit a field-induced kinetic crossover between spin-liquid phases. Specifically, kinetics within both the Ice-I phase and the unconventional field-induced Ice-II phase are presented.
- Alejandro Lopez-Bezanilla
- , Jack Raymond
- & Andrew D. King
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Article
| Open AccessFundamental limits to learning closed-form mathematical models from data
Learning analytical models from noisy data remains challenging and depends essentially on the noise level. The authors analyze the transition of the model-learning problem from a low-noise phase to a phase where noise is too high for the underlying model to be learned by any method, and estimate upper bounds for the transition noise.
- Oscar Fajardo-Fontiveros
- , Ignasi Reichardt
- & Roger Guimerà
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Article
| Open AccessDiverse behaviors in non-uniform chiral and non-chiral swarmalators
Populations of swarming coupled oscillators with inhomogeneous natural frequencies and chirality are relevant for active matter systems and micro-robotics. The authors model and analyze a variety of their self-organized behaviors that mimic natural and artificial micro-scale collective systems.
- Steven Ceron
- , Kevin O’Keeffe
- & Kirstin Petersen
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| Open AccessSeparation of scales and a thermodynamic description of feature learning in some CNNs
In the quest to understand how deep neural networks work, identification of slow and fast variables is a desirable step. Inspired by tools from theoretical physics, the authors propose a simplified description of finite deep neural networks based on two matrix variables per layer and provide analytic predictions for feature learning effects.
- Inbar Seroussi
- , Gadi Naveh
- & Zohar Ringel
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Article
| Open AccessFerroelectric nematic liquids with conics
Defect lines shaped as conic sections are common in smectic liquid crystals, where they manifest equidistance of molecular layers curled in space. Here authors present hyperbolas and parabolas as domain walls in ferroelectric nematics, which are shaped so to avoid being electrically charged.
- Priyanka Kumari
- , Bijaya Basnet
- & Oleg D. Lavrentovich
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Article
| Open AccessSearching for spin glass ground states through deep reinforcement learning
Finding the ground states of spin glasses relevant for disordered magnets and many other physical systems is computationally challenging. The authors propose here a deep reinforcement learning framework for calculating the ground states, which can be trained on small-scale spin glass instances and then applied to arbitrarily large ones.
- Changjun Fan
- , Mutian Shen
- & Yang-Yu Liu
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Article
| Open AccessUniversal exploration dynamics of random walks
Random walks are usually characterized by the spatial territory they cover, described by the number of sites visited at a given time. Here the authors propose an approach that accounts the time between visits to distinct sites, for improved analysis of the exploration process for general random walks, including the case of anomalous diffusion in disordered media.
- Léo Régnier
- , Maxim Dolgushev
- & Olivier Bénichou
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Article
| Open AccessFundamental energy cost of finite-time parallelizable computing
Based on fundamental thermodynamics, traditional electronic computers, which operate serially, require more energy per computation the faster they operate. Here, the authors show that the energy cost per operation of a parallel computer can be kept very small.
- Michael Konopik
- , Till Korten
- & Heiner Linke
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Article
| Open AccessUncovering the mechanism for aggregation in repeat expanded RNA reveals a reentrant transition
RNA molecules aggregate in certain conditions, but how and why remains unclear. Here the authors develop a model that quantitatively explains the conditions and mechanism of RNA aggregation, and predicts a surprising non-monotonicity in the transition.
- Ofer Kimchi
- , Ella M. King
- & Michael P. Brenner
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Article
| Open AccessImpact of the Euro 2020 championship on the spread of COVID-19
In this Bayesian inference study, the authors aim to quantify the impact of the men’s 2020 UEFA Euro Football Championship on COVID-19 spread in twelve participating countries. They estimate that 0.84 million cases and 1,700 deaths were attributable to the championship, with most impacts in England and Scotland.
- Jonas Dehning
- , Sebastian B. Mohr
- & Viola Priesemann
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Article
| Open AccessFinding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping
Shortest paths between the nodes of complex networks are challenging to obtain if the information on network structure is incomplete. Here the authors show that the shortest paths are geometrically localized in hyperbolic representations of networks, and can be detected even if the large amount of network links are missing. The authors demonstrate the utility of geometric pathfinding in Internet routing and the reconstruction of cellular pathways.
- Maksim Kitsak
- , Alexander Ganin
- & Igor Linkov
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Article
| Open AccessControllable branching of robust response patterns in nonlinear mechanical resonators
Feedback control applied to mechanical resonators can lead to the formation of various complex dynamic behaviors. Here the authors demonstrate flexible and controllable switching between dynamical structures in the response of harmonically driven micro-mechanical resonators.
- Axel M. Eriksson
- , Oriel Shoshani
- & David A. Czaplewski
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| Open AccessSupercooling of the A phase of 3He
The A–B transition in superfluid 3He is a pure experimental model system to study first-order phase transitions in the early Universe. Tian et al. observe the path dependence of the supercooling of the A phase in a wide parameter range and provide explanations for the heterogeneous nucleation of the B phase.
- Y. Tian
- , D. Lotnyk
- & J. M. Parpia
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Article
| Open AccessCreating bulk ultrastable glasses by random particle bonding
Viable methods for the production of ultrastable glasses are much sought after. A potential approach for creating bulk ultrastable glasses, based on random particle bonding scenarios, is now numerically investigated. The method is expected to be applicable to molecular and colloidal glasses.
- Misaki Ozawa
- , Yasutaka Iwashita
- & Francesco Zamponi
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Article
| Open AccessQuadrupolar 23Na+ NMR relaxation as a probe of subpicosecond collective dynamics in aqueous electrolyte solutions
Quadrupolar nuclear magnetic relaxometry senses electrical fluctuations around nuclei, but their microscopic interpretation remains elusive. Here, the authors combine experiments and multiscale simulations to interpret relaxation rates in electrolyte solutions and assess commonly used models.
- Iurii Chubak
- , Leeor Alon
- & Benjamin Rotenberg
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Article
| Open AccessSpontaneous vortex formation by microswimmers with retarded attractions
Time-delayed interactions involving perception, decision, and reaction, are omnipresent in the living world. Here, the delayed self-propulsion of a microswimmer toward a target gives rise to chiral orbital motion via a symmetry-breaking bifurcation. Additional swimmers synchronize and stabilize it.
- Xiangzun Wang
- , Pin-Chuan Chen
- & Frank Cichos
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Article
| Open AccessThermal fluctuations of the lipid membrane determine particle uptake into Giant Unilamellar Vesicles
Particulates, bacteria and viruses wrap into cell membranes. Here the authors use optical tweezers, particle tracking and mathematical modelling to show that the uptake process into giant vesicles is influenced by thermal membrane fluctuations.
- Yareni A. Ayala
- , Ramin Omidvar
- & Alexander Rohrbach
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Article
| Open AccessPrethermalization in one-dimensional quantum many-body systems with confinement
Some quantum spin models provide a condensed-matter realization of confinement, and previous work has shown that confinement affects the way they thermalize. Here the authors demonstrate for a many-body model with confinement that thermalization dynamics occurs in multiple stages, starting with a prethermal state.
- Stefan Birnkammer
- , Alvise Bastianello
- & Michael Knap
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Article
| Open AccessMany-body quantum chaos and space-time translational invariance
Getting a grip on the chaotic properties of quantum systems is difficult. Now, the effect of translational invariance in space in time in an ensemble of random quantum circuits is shown to lead to largely universal scaling laws describing the system without the need of knowing microscopic details.
- Amos Chan
- , Saumya Shivam
- & Andrea De Luca
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Article
| Open AccessDual communities in spatial networks
Here the authors introduce dual communities, characterized by strong connections at their boundaries, and show that they are formed as a trade-off between efficiency and resilience in supply networks.
- Franz Kaiser
- , Philipp C. Böttcher
- & Dirk Witthaut
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| Open AccessNear-critical spreading of droplets
Tanner’s law describes the spreading dynamics of droplets made of Newtonian viscous fluids. Here, the authors demonstrate that this law remains valid for phase-separated binary liquids close to their critical point, and thus for all the associated universality class.
- Raphael Saiseau
- , Christian Pedersen
- & Jean-Pierre Delville
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| Open AccessFragmentation of outage clusters during the recovery of power distribution grids
Here the authors, by using data from three electrical companies in the USA, find that the recovery duration of an outage is connected with the downtime of its nearby outages and blackout intensity and present a cluster-based recovery framework.
- Hao Wu
- , Xiangyi Meng
- & Albert-László Barabási
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| Open AccessGeometrical congruence, greedy navigability and myopic transfer in complex networks and brain connectomes
The manifold’s geometry underlying the connectivity of a complex network determines its navigation ruled by the nodes distances in the geometrical space. In this work, the authors propose an algorithm which allows to uncover the relation between the measures of geometrical congruency and efficient greedy navigability in complex networks.
- Carlo Vittorio Cannistraci
- & Alessandro Muscoloni
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| Open AccessInference of hyperedges and overlapping communities in hypergraphs
Networks with higher-order interactions are known to provide better representation of real networked systems. Here the authors introduce a framework based on statistical inference to detect overlapping communities and predict hyperedges of any size in hypergraphs.
- Martina Contisciani
- , Federico Battiston
- & Caterina De Bacco
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Article
| Open AccessPath sampling of recurrent neural networks by incorporating known physics
Adding prior experimentally or theoretically obtained knowledge to the training of recurrent neural networks may be challenging due to their feedback nature with arbitrarily long memories. The authors propose a path sampling approach that allows to include generic thermodynamic or kinetic constraints for learning of time series relevant to molecular dynamics and quantum systems.
- Sun-Ting Tsai
- , Eric Fields
- & Pratyush Tiwary
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Perspective
| Open AccessStatistical inference links data and theory in network science
Theoretical models and structures recovered from measured data serve for analysis of complex networks. The authors discuss here existing gaps between theoretical methods and real-world applied networks, and potential ways to improve the interplay between theory and applications.
- Leto Peel
- , Tiago P. Peixoto
- & Manlio De Domenico
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Article
| Open AccessMulti-scale organization in communicating active matter
The communication in active systems plays an important role in their self-organization, yet the detail is not fully understood. Here, Ziepke et al. show the formation of complex structures at multiple scales amongst interactive agents that locally process information transmitted by chemical signals.
- Alexander Ziepke
- , Ivan Maryshev
- & Erwin Frey
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Article
| Open AccessBayesian deep learning for error estimation in the analysis of anomalous diffusion
Diffusive motions in complex environments such as living biological cells or soft matter systems can be analyzed with single-particle-tracking approaches, where accuracy of output may vary. The authors involve a machine-learning technique for decoding anomalous-diffusion data and provide an uncertainty estimate together with predicted output.
- Henrik Seckler
- & Ralf Metzler
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| Open AccessSocial interactions lead to motility-induced phase separation in fire ants
Some active matter systems as they evolve, can be characterized by spatially varying density, with some regions that are dense and immobile, and other regions with lower density that accommodate most mobile particles. The authors show that this phenomenon can also be observed as an effect of the social interactions between fire ants.
- Caleb Anderson
- & Alberto Fernandez-Nieves
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Article
| Open AccessRobust replication initiation from coupled homeostatic mechanisms
Homeostasis of DNA density is a hallmark of living cells. The authors show via mathematical modelling how two cycles, a titration-based concentration cycle and a nucleotide activation cycle, together drive replication in E. coli at all growth rates.
- Mareike Berger
- & Pieter Rein ten Wolde
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Article
| Open AccessSurface melting of a colloidal glass
The melting process in glasses is not fully understood. Experiments with colloidal glasses now show that during melting, a liquid film develops at the surface, below which a region forms with highly mobile particles. This surface glassy layer reflects the properties of the surface and the underlying bulk material.
- Li Tian
- & Clemens Bechinger
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Article
| Open AccessEpidemic spreading under mutually independent intra- and inter-host pathogen evolution
In modelling of epidemic spreading processes, a reproduction number is crucial to shape the model dynamics. The authors analyze how evolving pathogens may impact the reproduction number and macroscopic dynamics of spreading processes.
- Xiyun Zhang
- , Zhongyuan Ruan
- & Baruch Barzel
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Article
| Open AccessDynamical control of quantum heat engines using exceptional points
Investigations of quantum thermal machines and Liouvillian exceptional points have rarely crossed each other. Here, the authors realize experimentally a quantum Otto engine using a single trapped ion, and show that crossing a Liouvillian exceptional point during the cycle increases the engine performance.
- J.-W. Zhang
- , J.-Q. Zhang
- & M. Feng
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Article
| Open AccessDetecting the ultra low dimensionality of real networks
Reducing of dimension is often necessary to detect and analyze patterns in large datasets and complex networks. Here, the authors propose a method for detection of the intrinsic dimensionality of high-dimensional networks to reproduce their complex structure using a reduced tractable geometric representation.
- Pedro Almagro
- , Marián Boguñá
- & M. Ángeles Serrano
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Article
| Open AccessEmergent microrobotic oscillators via asymmetry-induced order
Spontaneous low-frequency oscillations, which are a feature of biological systems, are challenging to engineer into microrobotic systems. The authors discover a mechanism for asymmetry-induced order and realise electrical and mechanical oscillations in a particle collective to power a microrobotic arm.
- Jing Fan Yang
- , Thomas A. Berrueta
- & Michael S. Strano
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Article
| Open AccessSpatial structure of city population growth
A new study finds that city growth in the U.S. is spatially heterogeneous. Inter-city flows concentrate in core areas. Intra-city flows are generally directed towards external and low density counties of cities, and is the main contributor to urban sprawl.
- Sandro M. Reia
- , P. Suresh C. Rao
- & Satish V. Ukkusuri
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Article
| Open AccessDispersive transport dynamics in porous media emerge from local correlations
Dispersive transport through complex media, relevant for semiconductors, liquid crystals, and biological soft matter, is influenced by their microscopic, porous structure. The authors consider the statistics of pore-junction units, in contrast to individual pores, to link morphology and macroscopic transport characteristics.
- Felix J. Meigel
- , Thomas Darwent
- & Karen Alim
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Article
| Open AccessNoise-injected analog Ising machines enable ultrafast statistical sampling and machine learning
Ising machines are accelerators for computing difficult optimization problems. In this work, Böhm et al. demonstrate a method that extends their use to perform statistical sampling and machine learning orders-of-magnitudes faster than digital computers.
- Fabian Böhm
- , Diego Alonso-Urquijo
- & Guy Van der Sande
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Article
| Open AccessQuantifying ethnic segregation in cities through random walks
Socioeconomic segregation is one of the main factors behind large-scale inequalities in urban areas and its characterisation remains challenging. The authors propose a family of non-parametric measures to quantify spatial heterogeneity through diffusion, and show how this relates to segregation and deprivation
- Sandro Sousa
- & Vincenzo Nicosia
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Article
| Open AccessQuantum wake dynamics in Heisenberg antiferromagnetic chains
It has long been suggested that the inverse Fourier transform of neutron scattering data gives access to space- and time-resolved spin-spin correlations. Scheie et al. perform this procedure on high-precision experimental data from a 1D quantum antiferromagnet and uncover new features in short-term quench dynamics.
- A. Scheie
- , P. Laurell
- & D. A. Tennant
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Article
| Open AccessGrowth of bilayer MoTe2 single crystals with strong non-linear Hall effect
2D transition metal ditellurides exhibit nontrivial topological phases, but the controlled bottom-up synthesis of these materials is still challenging. Here, the authors report the layer-by-layer growth of large-area bilayer and trilayer 1T’ MoTe2 films, showing thickness-dependent ferroelectricity and nonlinear Hall effect.
- Teng Ma
- , Hao Chen
- & Kian Ping Loh
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Article
| Open AccessUnderstanding Braess’ Paradox in power grids
Increasing the capacity of existing lines or adding new lines in power grids may, counterintuitively, reduce the system performance and promote blackouts. The authors propose an approach for prediction of edges that lower system performance and defining potential constrains for grid extensions.
- Benjamin Schäfer
- , Thiemo Pesch
- & Marc Timme
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Article
| Open AccessEverlasting impact of initial perturbations on first-passage times of non-Markovian random walks
The persistence of random walker can quantify the kinetics of transport limited reactions and predict the time to reach a target, but is challenging for non-stationary random processes with a large number of degrees of freedom. The authors introduce a method to determine the persistence exponent of random processes with general non-stationary dynamics.
- N. Levernier
- , T. V. Mendes
- & T. Guérin
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Article
| Open AccessImpact of basic network motifs on the collective response to perturbations
Spreading processes and cascading failures on complex networks are often triggered by external perturbations. The authors uncover the impact of network motifs on the processes of perturbations propagation through networks, and networks’ response dynamics.
- Xiaoge Bao
- , Qitong Hu
- & Jan Nagler
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Article
| Open AccessMultistability and anomalies in oscillator models of lossy power grids
Dissipatively coupled oscillators, describing lossy flows in power grids, are challenging to analyze due to asymmetry of couplings. Here, Delabays et al. reveal counterintuitive behaviours of increased capacity and increased stability in a network of lossy oscillators.
- Robin Delabays
- , Saber Jafarpour
- & Francesco Bullo
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Article
| Open AccessEmergent second law for non-equilibrium steady states
Contrary to states of thermal equilibrium, there is no universal characterization of non-equilibrium steady states displaying constant flows of energy and/or matter. Here, the authors make progress in this direction by deriving an emergent and stricter version of the second law of thermodynamics.
- José Nahuel Freitas
- & Massimiliano Esposito
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Article
| Open AccessUntangling the network effects of productivity and prominence among scientists
While inequalities in science are common, most efforts to understand them treat scientists as isolated individuals, ignoring the network effects of collaboration. Here, the authors develop models that untangle the network effects of productivity and prominence of individual scientists from their collaboration networks.
- Weihua Li
- , Sam Zhang
- & Aaron Clauset
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Article
| Open AccessEmergent hypernetworks in weakly coupled oscillators
Networks with higher-order interactions are relevant to variety of real-world applications, they can be good description of data even if the system has only pairwise interactions. The authors uncover the hypernetwork emergence in coupled nonlinear oscillators and electrochemical experiments.
- Eddie Nijholt
- , Jorge Luis Ocampo-Espindola
- & Tiago Pereira