Induced friction on a probe moving in a nonequilibrium medium
Ji-Hui Pei and Christian Maes
Phys. Rev. E 111, L032101 (2025) - Published 18 March, 2025
Yihao Xu, Tao Chen, Zongzheng Zhou, Jesús Salas, and Youjin Deng
Phys. Rev. E 111, 034108 (2025) - Published 7 March, 2025
In percolation theory, a key quantity is the size distribution of clusters. In two dimensions, its scaling behavior at the critical point is known exactly, including a universal correction-to-scaling exponent. The authors extend the result for this exponent to clusters in a set of Potts models, presenting a theoretical argument for a conjectured expression that is confirmed by numerical results.
R. Hurtado-Gutiérrez, C. Pérez-Espigares, and P. I. Hurtado
Phys. Rev. E 111, 034119 (2025) - Published 17 March, 2025
Time crystals are being investigated both in classical and quantum settings. This work advances this area by demonstrating how to engineer and control custom continuous time crystals in driven diffusive fluids. This enables one to build different time crystals on demand, characterized by an arbitrary number of rotating condensates. The authors’ findings leverage an external packing field coupled to density fluctuations, showcasing the versatility and potential of the approach.
#AdvancingField #TimelyTopic
Santiago Lamata-Otín, Federico Malizia, Vito Latora, Mattia Frasca, and Jesús Gómez-Gardeñes
Phys. Rev. E 111, 034302 (2025) - Published 3 March, 2025
This study explores the nuanced interplay between the structural organization of complex systems and their synchronization stability, specifically focusing on the effects of higher-order interactions encapsulated in hypergraphs and simplicial complexes. By developing a novel hyperedge overlap matrix, the authors quantify the overlap between different orders of interaction and investigate their distinct impacts on the dynamics of coupled chaotic oscillators. The findings provide significant insights into how microscopic structural features within higher-order systems influence their overall synchronizability.
Perrin E. Ruth, Vincent Dufour-Décieux, Christopher Moakler, and Maria K. Cameron
Phys. Rev. E 111, 034303 (2025) - Published 6 March, 2025
The authors use a random graph model to predict molecule size distribution in hydrocarbon pyrolysis. The high temperatures and high pressure of pyrolysis make the system ergodic, so that many molecular configurations can form. The authors demonstrate that the method is accurate for distributions of both large and small molecules. In addition, it has low computational cost. They expect that this method may be extendable to other chemical systems under extreme conditions.
Eyal Atias and Michael Assaf
Phys. Rev. E 111, 034305 (2025) - Published 13 March, 2025
The authors address a question related to epidemic control strategy: Is there an optimal initiation time for a single quarantine, such that the final outbreak size is minimized? They use the susceptible-infected-recovered (SIR) model to explore heterogenous and well-mixed social networks. Surprisingly, their results reveal that the optimal quarantine initiation time is closely related to the so-called “herd immunity” threshold, occurring at the onset of epidemic decline.
#TimelyTopic
Yingpeng Liu, Jiao Wu, Kesheng Xu, and Muhua Zheng
Phys. Rev. E 111, 034309 (2025) - Published 17 March, 2025
The understanding of the relationship between brain architecture and function is one of the central themes in network neuroscience. The authors investigate how the brain network structure is affected in patients who suffered focal injuries (strokes). By analyzing a large amount of brain network data both for stroke patients and healthy controls, they found that strokes change network properties such as connection weights, average degree, clustering, community, etc. Yet, they also observe a partial recovery over time. The findings help understand the structure-function relationship in brain disorders.
#ClearMotivation #OutstandingDataset #Interdisciplinary
Rachel R. Bennett
Phys. Rev. E 111, 034402 (2025) - Published 4 March, 2025
Metachronal waves emerge when hydrodynamically coupled cilia synchronize their beating. This manuscript investigates the link between individual cilium dynamics and collective properties of emergent metachronal waves. It is shown that when the size of individual cilia is taken into account, the interactions between cilia break the symmetry, affecting the selection of a stable direction of metachronal waves.
Riccardo Marrocchio and Dáibhid Ó Maoiléidigh
Phys. Rev. E 111, 034403 (2025) - Published 11 March, 2025
Fluctuations of stereocilia, filamentous rods in the inner ear, regulate hearing sensitivity, but their dependence on viscoelastic coupling remains unclear. This study develops a mathematical model linking mechanical properties to deflection fluctuations, showing how elastic and viscous links reduce noise and improve auditory signal detection.
Daniel R. McCusker and David K. Lubensky
Phys. Rev. E 111, 034404 (2025) - Published 12 March, 2025
This work investigates how boundaries and sensor geometry affect the precision of diffusion-limited sensing. The authors derive exact analytical solutions and calculate results in one and three dimensions and for various sensor configurations. They find that the precision limit can vary substantially depending on the placement and size of the sensor. In general, proximity to a boundary degrades the precision compared to that far from any boundary.
#Interdisciplinary #BiophysicsSpotlight
D. Korošak, S. Postić, A. Stožer, B. Podobnik, and M. Slak Rupnik
Phys. Rev. E 111, 034405 (2025) - Published 12 March, 2025
By gradually increasing and then decreasing glucose levels in pancreatic islets, this experimental study shows that β-cell activity exhibits hysteresis, indicating a first-order transition. These results highlight the islets’ role as tipping elements driving abrupt insulin release.
Arthur Genthon
Phys. Rev. E 111, 034407 (2025) - Published 20 March, 2025
This paper demonstrates a method to determine the dependence of population growth on single-cell variability. The authors consider fluctuations in single-cell growth rate, size added, and size partitioning. Results reveal how different growth control mechanisms affect population growth.
#BiophysicsSpotlight
Francesca Mignacco, Chi-Ning Chou, and SueYeon Chung
Phys. Rev. E 111, 035302 (2025) - Published 6 March, 2025
Despite progress in artificial intelligence and neuroscience, the theoretical understanding of how neural networks learn complex functions remains sparse. One promising avenue involves analyzing the geometric properties of network representations, i.e., the activity of neural populations, and their impact on task performance using statistical physics methods. Existing approaches have been restricted to linear probes. The authors overcome this limitation by proposing a theoretical framework to address non-linearly-separable representations leveraging contextual information, a ubiquitous paradigm in brain computation. The findings allow for future investigations into high-dimensional representation efficiency and analyses of biological and artificial datasets, promising relevant implications for neuroscience and deep learning.
Wenlong Shi, Yang Jiao, and Salvatore Torquato
Phys. Rev. E 111, 035310 (2025) - Published 21 March, 2025
Heterogeneous materials are of importance in many applications, and designing them with certain properties is a crucial inverse problem. The authors develop a method to construct three-dimensional disordered heterogeneous materials by enforcing a given spectral density function, which determines a number of effective properties. They generate various microstructures including hyperuniform, nonhyperuniform, and antihyperuniform ones, with a significantly lower computational cost than existing methods.
#AdvancingField #TechnicalAdvancement
Xiongdong Yu, Zhigang Yuan, Dedong Wang, Oliver Allanson, and Samuel Hunter
Phys. Rev. E 111, L033201 (2025) - Published 18 March, 2025
The dynamics of electrons in space plasmas, such as the earth’s radiation belts, are affected by the presence of wave turbulence, even when a resonance condition is not satisfied. The authors propose an expression to describe this resonance broadening effect, and find that it compares well with test particle simulation results. The study is applied to whistler-mode chorus waves in the radiation belt’s electrons, but can be easily extended to a wide range of systems.
#AdvancingField #TechnicalAdvancement
Ji-Hui Pei and Christian Maes
Phys. Rev. E 111, L032101 (2025) - Published 18 March, 2025
Chunli Huang, Zhen Song, and Zhilin Qu
Phys. Rev. E 111, L032201 (2025) - Published 13 March, 2025
Dario Borrelli
Phys. Rev. E 111, L032301 (2025) - Published 17 March, 2025
Pablo Valgañón, Antonio Brotons, David Soriano-Paños, and Jesús Gómez-Gardeñes
Phys. Rev. E 111, L032302 (2025) - Published 26 March, 2025
Giuseppe Pucci, Antoine Bellaigue, Alessia Cirimele, Giuseppe Alì, and Anand U. Oza
Phys. Rev. E 111, L033101 (2025) - Published 7 March, 2025
Xiongdong Yu, Zhigang Yuan, Dedong Wang, Oliver Allanson, and Samuel Hunter
Phys. Rev. E 111, L033201 (2025) - Published 18 March, 2025
The dynamics of electrons in space plasmas, such as the earth’s radiation belts, are affected by the presence of wave turbulence, even when a resonance condition is not satisfied. The authors propose an expression to describe this resonance broadening effect, and find that it compares well with test particle simulation results. The study is applied to whistler-mode chorus waves in the radiation belt’s electrons, but can be easily extended to a wide range of systems.
#AdvancingField #TechnicalAdvancement
Marlis Ontivero-Ortega, Luca Faes, Jesus M. Cortes, Daniele Marinazzo, and Sebastiano Stramaglia
Phys. Rev. E 111, L033301 (2025) - Published 12 March, 2025
Luan M. T. de Moraes, Antônio M. S. Macêdo, Raydonal Ospina, and Giovani L. Vasconcelos
Phys. Rev. E 111, 034101 (2025) - Published 3 March, 2025
Bharadwaj Vedula, M. A. Moore, and Auditya Sharma
Phys. Rev. E 111, 034102 (2025) - Published 4 March, 2025
Joël Mabillard and Pierre Gaspard
Phys. Rev. E 111, 034103 (2025) - Published 4 March, 2025
Carlos A. Sánchez-Villalobos, Bertrand Delamotte, and Nicolás Wschebor
Phys. Rev. E 111, 034104 (2025) - Published 6 March, 2025
Massimiliano Giona, Giuseppe Procopio, and Chiara Pezzotti
Phys. Rev. E 111, 034105 (2025) - Published 7 March, 2025
Giuseppe Procopio, Chiara Pezzotti, and Massimiliano Giona
Phys. Rev. E 111, 034106 (2025) - Published 7 March, 2025
Xin-Yi Fan and Hai-Jun Zhou
Phys. Rev. E 111, 034107 (2025) - Published 7 March, 2025
Yihao Xu, Tao Chen, Zongzheng Zhou, Jesús Salas, and Youjin Deng
Phys. Rev. E 111, 034108 (2025) - Published 7 March, 2025
In percolation theory, a key quantity is the size distribution of clusters. In two dimensions, its scaling behavior at the critical point is known exactly, including a universal correction-to-scaling exponent. The authors extend the result for this exponent to clusters in a set of Potts models, presenting a theoretical argument for a conjectured expression that is confirmed by numerical results.
Sourav Pal, Parna Roy, and Abhik Basu
Phys. Rev. E 111, 034109 (2025) - Published 7 March, 2025
Phillip Helms, Songela W. Chen, and David T. Limmer
Phys. Rev. E 111, 034110 (2025) - Published 10 March, 2025
Pedro V. Paraguassú, Rui Aquino, and Pablo de Castro
Phys. Rev. E 111, 034111 (2025) - Published 10 March, 2025
Zbigniew Koza and Grzegorz Kondrat
Phys. Rev. E 111, 034112 (2025) - Published 10 March, 2025
Zhen Li and Yuki Izumida
Phys. Rev. E 111, 034113 (2025) - Published 11 March, 2025
Henry Alston and Thibault Bertrand
Phys. Rev. E 111, 034114 (2025) - Published 12 March, 2025
Kamel Ourabah
Phys. Rev. E 111, 034115 (2025) - Published 12 March, 2025
Jorge David Castaño-Yepes, J. M. Cabrera-Terán, and Cristian Felipe Ramirez-Gutierrez
Phys. Rev. E 111, 034116 (2025) - Published 13 March, 2025
W. S. Oliveira, J. Pimentel de Lima, and Raimundo R. dos Santos
Phys. Rev. E 111, 034117 (2025) - Published 13 March, 2025
Bastian Castorene, Francisco J. Peña, Ariel Norambuena, Sergio E. Ulloa, Cristobal Araya, and Patricio Vargas
Phys. Rev. E 111, 034118 (2025) - Published 14 March, 2025
R. Hurtado-Gutiérrez, C. Pérez-Espigares, and P. I. Hurtado
Phys. Rev. E 111, 034119 (2025) - Published 17 March, 2025
Time crystals are being investigated both in classical and quantum settings. This work advances this area by demonstrating how to engineer and control custom continuous time crystals in driven diffusive fluids. This enables one to build different time crystals on demand, characterized by an arbitrary number of rotating condensates. The authors’ findings leverage an external packing field coupled to density fluctuations, showcasing the versatility and potential of the approach.
#AdvancingField #TimelyTopic
Yixin Zhao, Ying Tang, and Pan Zhang
Phys. Rev. E 111, 034120 (2025) - Published 18 March, 2025
Wei Wang, Yingjie Liang, Aleksei V. Chechkin, and Ralf Metzler
Phys. Rev. E 111, 034121 (2025) - Published 18 March, 2025
Deepsikha Das and Sakuntala Chatterjee
Phys. Rev. E 111, 034122 (2025) - Published 20 March, 2025
Eli Newby, Wenlong Shi, Yang Jiao, Reka Albert, and Salvatore Torquato
Phys. Rev. E 111, 034123 (2025) - Published 20 March, 2025
Yael Avni, Michel Fruchart, David Martin, Daniel Seara, and Vincenzo Vitelli
Phys. Rev. E 111, 034124 (2025) - Published 21 March, 2025
Krzysztof Ptaszyński and Massimiliano Esposito
Phys. Rev. E 111, 034125 (2025) - Published 21 March, 2025
Madhur Mangalam, Aaron D. Likens, and Damian G. Kelty-Stephen
Phys. Rev. E 111, 034126 (2025) - Published 24 March, 2025
Julia Sanders, Marco Baldovin, and Paolo Muratore-Ginanneschi
Phys. Rev. E 111, 034127 (2025) - Published 25 March, 2025
Sankarshan Sahu, Bertrand Delamotte, and Adam Rançon
Phys. Rev. E 111, 034128 (2025) - Published 26 March, 2025
Petar Jolakoski, Pece Trajanovski, Arnab Pal, Viktor Stojkoski, Ljupco Kocarev, and Trifce Sandev
Phys. Rev. E 111, 034129 (2025) - Published 26 March, 2025
Sergei Izvekov
Phys. Rev. E 111, 034130 (2025) - Published 26 March, 2025
A. Rançon, B. Delamotte, L. Šaravanja, and I. Balog
Phys. Rev. E 111, 034131 (2025) - Published 26 March, 2025
Tobias Becker and André Eckardt
Phys. Rev. E 111, 034132 (2025) - Published 27 March, 2025
Sergei Shmakov, Glasha Osipycheva, and Peter B. Littlewood
Phys. Rev. E 111, 034133 (2025) - Published 28 March, 2025
Brandon B. Le
Phys. Rev. E 111, 034201 (2025) - Published 3 March, 2025
Abhay and Gaurav Dar
Phys. Rev. E 111, 034202 (2025) - Published 3 March, 2025
Rodrigo Simile Baroni, Ricardo Egydio de Carvalho, José Danilo Szezech Junior, and Iberê Luiz Caldas
Phys. Rev. E 111, 034203 (2025) - Published 4 March, 2025
Sapna Yadav, Taniya Khatun, Heirtami Paswet, and P. Parmananda
Phys. Rev. E 111, 034204 (2025) - Published 5 March, 2025
R. Chacón, A. Martínez García-Hoz, P. J. Martínez, and D. Durán
Phys. Rev. E 111, 034205 (2025) - Published 7 March, 2025
Keiji Konishi, Koki Yoshida, Yoshiki Sugitani, and Naoyuki Hara
Phys. Rev. E 111, 034206 (2025) - Published 10 March, 2025
Tempei Kabayama, Yasuo Kuniyoshi, Kazuyuki Aihara, and Kohei Nakajima
Phys. Rev. E 111, 034207 (2025) - Published 11 March, 2025
Zhuo Fan, Wan Liu, Linjia Wang, Wei Peng, Di Wu, Siliu Xu, and Yuan Zhao
Phys. Rev. E 111, 034208 (2025) - Published 11 March, 2025
Mohammed Loukili, Ludovic Jullien, Guillaume Baffou, and Raphaël Plasson
Phys. Rev. E 111, 034209 (2025) - Published 12 March, 2025
Jithu Paul, Karel N. van Dalen, Andrei B. Fărăgău, Rens J. van Leijden, Mouad Ouggaâli, and Andrei V. Metrikine
Phys. Rev. E 111, 034210 (2025) - Published 17 March, 2025
Ivan I. Shevchenko
Phys. Rev. E 111, 034211 (2025) - Published 17 March, 2025
Gourab Kumar Sar, Md Sayeed Anwar, Martin Moriamé, Dibakar Ghosh, and Timoteo Carletti
Phys. Rev. E 111, 034212 (2025) - Published 19 March, 2025
Thierry Kenne Tiayo, Conrad Bertrand Tabi, Armand Sylvin Etémé, and Timoléon Crépin Kofané
Phys. Rev. E 111, 034213 (2025) - Published 19 March, 2025
S. Sudharsan, Tapas Kumar Pal, Dibakar Ghosh, and Jürgen Kurths
Phys. Rev. E 111, 034214 (2025) - Published 20 March, 2025
Konstantin Komarov, Alexander Dmitriev, Andrey Komarov, Luming Zhao, and François Sanchez
Phys. Rev. E 111, 034215 (2025) - Published 20 March, 2025
J. D'Ambroise, W. Wang, C. Ticknor, R. Carretero-González, and P. G. Kevrekidis
Phys. Rev. E 111, 034216 (2025) - Published 20 March, 2025
Joseph W. Baron
Phys. Rev. E 111, 034217 (2025) - Published 25 March, 2025
Runze Xu and Rahil N. Valani
Phys. Rev. E 111, 034218 (2025) - Published 25 March, 2025
Sunidhi Sen, Himanshu Shekhar, and Santosh Kumar
Phys. Rev. E 111, 034301 (2025) - Published 3 March, 2025
Santiago Lamata-Otín, Federico Malizia, Vito Latora, Mattia Frasca, and Jesús Gómez-Gardeñes
Phys. Rev. E 111, 034302 (2025) - Published 3 March, 2025
This study explores the nuanced interplay between the structural organization of complex systems and their synchronization stability, specifically focusing on the effects of higher-order interactions encapsulated in hypergraphs and simplicial complexes. By developing a novel hyperedge overlap matrix, the authors quantify the overlap between different orders of interaction and investigate their distinct impacts on the dynamics of coupled chaotic oscillators. The findings provide significant insights into how microscopic structural features within higher-order systems influence their overall synchronizability.
Perrin E. Ruth, Vincent Dufour-Décieux, Christopher Moakler, and Maria K. Cameron
Phys. Rev. E 111, 034303 (2025) - Published 6 March, 2025
The authors use a random graph model to predict molecule size distribution in hydrocarbon pyrolysis. The high temperatures and high pressure of pyrolysis make the system ergodic, so that many molecular configurations can form. The authors demonstrate that the method is accurate for distributions of both large and small molecules. In addition, it has low computational cost. They expect that this method may be extendable to other chemical systems under extreme conditions.
M. Ghanbarzadeh Noudehi and G. R. Jafari
Phys. Rev. E 111, 034304 (2025) - Published 6 March, 2025
Eyal Atias and Michael Assaf
Phys. Rev. E 111, 034305 (2025) - Published 13 March, 2025
The authors address a question related to epidemic control strategy: Is there an optimal initiation time for a single quarantine, such that the final outbreak size is minimized? They use the susceptible-infected-recovered (SIR) model to explore heterogenous and well-mixed social networks. Surprisingly, their results reveal that the optimal quarantine initiation time is closely related to the so-called “herd immunity” threshold, occurring at the onset of epidemic decline.
#TimelyTopic
Juan I. Perotti
Phys. Rev. E 111, 034306 (2025) - Published 13 March, 2025
Guillermo Benito-Calvino and Pablo Jensen
Phys. Rev. E 111, 034307 (2025) - Published 14 March, 2025
Zhendong Yu and Haiping Huang
Phys. Rev. E 111, 034308 (2025) - Published 17 March, 2025
Yingpeng Liu, Jiao Wu, Kesheng Xu, and Muhua Zheng
Phys. Rev. E 111, 034309 (2025) - Published 17 March, 2025
The understanding of the relationship between brain architecture and function is one of the central themes in network neuroscience. The authors investigate how the brain network structure is affected in patients who suffered focal injuries (strokes). By analyzing a large amount of brain network data both for stroke patients and healthy controls, they found that strokes change network properties such as connection weights, average degree, clustering, community, etc. Yet, they also observe a partial recovery over time. The findings help understand the structure-function relationship in brain disorders.
#ClearMotivation #OutstandingDataset #Interdisciplinary
Alina Dubovskaya, Caroline B. Pena, and David J. P. O'Sullivan
Phys. Rev. E 111, 034310 (2025) - Published 21 March, 2025
Dong Yu, Xuening Li, Xueqin Wang, Weifang Huang, Xueyan Hu, and Ya Jia
Phys. Rev. E 111, 034311 (2025) - Published 24 March, 2025
Supriyo Dutta
Phys. Rev. E 111, 034312 (2025) - Published 26 March, 2025
Rafael B. Frigori
Phys. Rev. E 111, 034401 (2025) - Published 3 March, 2025
Rachel R. Bennett
Phys. Rev. E 111, 034402 (2025) - Published 4 March, 2025
Metachronal waves emerge when hydrodynamically coupled cilia synchronize their beating. This manuscript investigates the link between individual cilium dynamics and collective properties of emergent metachronal waves. It is shown that when the size of individual cilia is taken into account, the interactions between cilia break the symmetry, affecting the selection of a stable direction of metachronal waves.
Riccardo Marrocchio and Dáibhid Ó Maoiléidigh
Phys. Rev. E 111, 034403 (2025) - Published 11 March, 2025
Fluctuations of stereocilia, filamentous rods in the inner ear, regulate hearing sensitivity, but their dependence on viscoelastic coupling remains unclear. This study develops a mathematical model linking mechanical properties to deflection fluctuations, showing how elastic and viscous links reduce noise and improve auditory signal detection.
Daniel R. McCusker and David K. Lubensky
Phys. Rev. E 111, 034404 (2025) - Published 12 March, 2025
This work investigates how boundaries and sensor geometry affect the precision of diffusion-limited sensing. The authors derive exact analytical solutions and calculate results in one and three dimensions and for various sensor configurations. They find that the precision limit can vary substantially depending on the placement and size of the sensor. In general, proximity to a boundary degrades the precision compared to that far from any boundary.
#Interdisciplinary #BiophysicsSpotlight
D. Korošak, S. Postić, A. Stožer, B. Podobnik, and M. Slak Rupnik
Phys. Rev. E 111, 034405 (2025) - Published 12 March, 2025
By gradually increasing and then decreasing glucose levels in pancreatic islets, this experimental study shows that β-cell activity exhibits hysteresis, indicating a first-order transition. These results highlight the islets’ role as tipping elements driving abrupt insulin release.
Zhuozhen Xue, Qing Hu, Xiaoqi Lu, and Ruiqi Wang
Phys. Rev. E 111, 034406 (2025) - Published 18 March, 2025
Arthur Genthon
Phys. Rev. E 111, 034407 (2025) - Published 20 March, 2025
This paper demonstrates a method to determine the dependence of population growth on single-cell variability. The authors consider fluctuations in single-cell growth rate, size added, and size partitioning. Results reveal how different growth control mechanisms affect population growth.
#BiophysicsSpotlight
David A. Kessler and Nadav M. Shnerb
Phys. Rev. E 111, 034408 (2025) - Published 24 March, 2025
J. F. Scott
Phys. Rev. E 111, 035101 (2025) - Published 5 March, 2025
J. G. Wouchuk
Phys. Rev. E 111, 035102 (2025) - Published 11 March, 2025
Nanami Taketoshi, Toshihiro Omori, and Takuji Ishikawa
Phys. Rev. E 111, 035103 (2025) - Published 18 March, 2025
Nilgun Sungar, John Sharpe, Loic Ijzerman, and Jack-William Barotta
Phys. Rev. E 111, 035104 (2025) - Published 18 March, 2025
Jack-William Barotta, Giuseppe Pucci, Eli Silver, Alireza Hooshanginejad, and Daniel M. Harris
Phys. Rev. E 111, 035105 (2025) - Published 20 March, 2025
Rick D. M. Jansen, Ralf R. L. Reinartz, Haoyu Zhu, Rudie P. J. Kunnen, and Herman J. H. Clercx
Phys. Rev. E 111, 035106 (2025) - Published 25 March, 2025
Louis Jose, James C. Welch, III, Timothy D. Tharp, and Scott D. Baalrud
Phys. Rev. E 111, 035201 (2025) - Published 6 March, 2025
Zhaoye Wang, Nichen Yu, C. Reichhardt, C. J. O. Reichhardt, Ao Xu, Xin Chen, and Yan Feng
Phys. Rev. E 111, 035202 (2025) - Published 7 March, 2025
Bertrand Martinez, Robert Babjak, and Marija Vranic
Phys. Rev. E 111, 035203 (2025) - Published 10 March, 2025
A. Rezvani, S. Miraboutalebi, L. Rajaei, and M. R. Sharifian
Phys. Rev. E 111, 035204 (2025) - Published 13 March, 2025
N. I. Petrov
Phys. Rev. E 111, 035205 (2025) - Published 14 March, 2025
Thomas Chuna and Michael S. Murillo
Phys. Rev. E 111, 035206 (2025) - Published 17 March, 2025
X. X. Li, R. J. Cheng, Qing Wang, D. J. Liu, S. Y. Lv, Z. M. Huang, S. T. Zhang, Z. J. Chen, Z. Y. Xu, Qiang Wang, Z. J. Liu, L. H. Cao, C. Y. Zheng, and X. T. He
Phys. Rev. E 111, 035207 (2025) - Published 18 March, 2025
Qingbo Luo, Xin Liang, Chengliang Lin, Xinlian Zhang, Jianpeng Liu, Cheng Gao, Yong Hou, and Jianmin Yuan
Phys. Rev. E 111, 035208 (2025) - Published 24 March, 2025
Zhen-Ke Dou, Chong Lv, Yousef I. Salamin, Nan Zhang, Feng Wan, Zhong-Feng Xu, and Jian-Xing Li
Phys. Rev. E 111, 035209 (2025) - Published 25 March, 2025
Marianna Lytova, François Fillion-Gourdeau, Simon Vallières, Sylvain Fourmaux, Stéphane Payeur, Jeffrey Powell, François Légaré, and Steve MacLean
Phys. Rev. E 111, 035210 (2025) - Published 27 March, 2025
G. Radureau, C. Michaut, and A. I. Comport
Phys. Rev. E 111, 035301 (2025) - Published 5 March, 2025
Francesca Mignacco, Chi-Ning Chou, and SueYeon Chung
Phys. Rev. E 111, 035302 (2025) - Published 6 March, 2025
Despite progress in artificial intelligence and neuroscience, the theoretical understanding of how neural networks learn complex functions remains sparse. One promising avenue involves analyzing the geometric properties of network representations, i.e., the activity of neural populations, and their impact on task performance using statistical physics methods. Existing approaches have been restricted to linear probes. The authors overcome this limitation by proposing a theoretical framework to address non-linearly-separable representations leveraging contextual information, a ubiquitous paradigm in brain computation. The findings allow for future investigations into high-dimensional representation efficiency and analyses of biological and artificial datasets, promising relevant implications for neuroscience and deep learning.
Yao Du, Haibo Luo, Jianmin Guo, Jinghua Xiao, Yizhen Yu, and Xingang Wang
Phys. Rev. E 111, 035303 (2025) - Published 7 March, 2025
Jingmin Sun, Yuxuan Liu, Zecheng Zhang, and Hayden Schaeffer
Phys. Rev. E 111, 035304 (2025) - Published 12 March, 2025
Lyudmila Grigoryeva, Hannah Lim Jing Ting, and Juan-Pablo Ortega
Phys. Rev. E 111, 035305 (2025) - Published 14 March, 2025
Craig Byrne and Orest Shardt
Phys. Rev. E 111, 035306 (2025) - Published 17 March, 2025
David D. Baek, Ziming Liu, and Max Tegmark
Phys. Rev. E 111, 035307 (2025) - Published 20 March, 2025
H. M. Huddleston, C. R. J. Fitzpatrick, J. P. Kennedy, B. Dromey, and M. Yeung
Phys. Rev. E 111, 035308 (2025) - Published 20 March, 2025
Nicolas Bourdineaud, Guillaume Duchateau, and Rodolphe Turpault
Phys. Rev. E 111, 035309 (2025) - Published 21 March, 2025
Wenlong Shi, Yang Jiao, and Salvatore Torquato
Phys. Rev. E 111, 035310 (2025) - Published 21 March, 2025
Heterogeneous materials are of importance in many applications, and designing them with certain properties is a crucial inverse problem. The authors develop a method to construct three-dimensional disordered heterogeneous materials by enforcing a given spectral density function, which determines a number of effective properties. They generate various microstructures including hyperuniform, nonhyperuniform, and antihyperuniform ones, with a significantly lower computational cost than existing methods.
#AdvancingField #TechnicalAdvancement
Lin Zheng, Song Zheng, and Qinglan Zhai
Phys. Rev. E 111, 035311 (2025) - Published 21 March, 2025
Xiaojie Zhang, Donglei Wang, Qing Li, and Rongzong Huang
Phys. Rev. E 111, 035312 (2025) - Published 21 March, 2025
G. O. Danilenko, A. V. Kovalev, D. S. Citrin, A. Locquet, D. Rontani, and E. A. Viktorov
Phys. Rev. E 111, 035313 (2025) - Published 27 March, 2025
Hyonggi Kim and Atsushi Ikeda
Phys. Rev. E 111, 035401 (2025) - Published 3 March, 2025
Anna S. Bodrova and Alexander I. Osinsky
Phys. Rev. E 111, 035402 (2025) - Published 5 March, 2025
V. A. Levashov
Phys. Rev. E 111, 035403 (2025) - Published 7 March, 2025
Cody D. Schimming, C. J. O. Reichhardt, and C. Reichhardt
Phys. Rev. E 111, 035404 (2025) - Published 7 March, 2025
Ebru Cihan, Hesam Khaksar, Kevin Lubig, Stephan Gräf, Frank A. Müller, and Enrico Gnecco
Phys. Rev. E 111, 035405 (2025) - Published 7 March, 2025
Yutong Yang, Zixiang Yan, Hao Liu, Jingxiang Shen, and Wei Kang
Phys. Rev. E 111, 035406 (2025) - Published 17 March, 2025
A. Loidl, P. Lunkenheimer, and K. Samwer
Phys. Rev. E 111, 035407 (2025) - Published 18 March, 2025
Zuyang Li, Hua Wei, Shi Liu, Menghan Xia, Bo Guo, Yingzhou Huang, Hua Yu, XiaoFeng Qian, and Weijia Wen
Phys. Rev. E 111, 035408 (2025) - Published 18 March, 2025
Anoop Mutneja and Smarajit Karmakar
Phys. Rev. E 111, 035409 (2025) - Published 18 March, 2025
Harshit Joshi and Anubhab Roy
Phys. Rev. E 111, 035410 (2025) - Published 20 March, 2025
Pablo Vázquez-Montejo, Bojan Božič, and Jemal Guven
Phys. Rev. E 111, 035411 (2025) - Published 21 March, 2025
Meng-Yuan Li, Ning Zheng, and Yan-Wei Li
Phys. Rev. E 111, 035412 (2025) - Published 25 March, 2025
Patrick E. Farrell and Umberto Zerbinati
Phys. Rev. E 111, 035413 (2025) - Published 28 March, 2025
Frederik Munko, Catherine Cruz Luukkonen, Ismael S. S. Carrasco, Fábio D. A. Aarão Reis, and Martin Oettel
Phys. Rev. E 111, 035501 (2025) - Published 4 March, 2025
Bu-Chen Ping, Jia-Jia Feng, Yan-Chun Luo, Xin-Rui Li, and Da-Jian Wu
Phys. Rev. E 111, 035502 (2025) - Published 18 March, 2025
Dmitry V. Tatyanenko and Konstantin D. Apitsin
Phys. Rev. E 111, 035503 (2025) - Published 27 March, 2025