Article
Physics, Multidisciplinary
Salambo Dago, Jorge Pereda, Nicolas Barros, Sergio Ciliberto, Ludovic Bellon
Summary: This study investigates the effects of inertia on the Landauer principle by using an underdamped micromechanical oscillator as a 1-bit memory. The researchers demonstrate both experimentally and theoretically that the Landauer bound can be reached with a 1% uncertainty in underdamped systems, even with protocols as short as 100 ms.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Multidisciplinary
Ugur Cetiner, Oren Raz, Madolyn Britt, Sergei Sukharev
Summary: The Landauer principle sets a thermodynamic bound on the energetic cost of information erasure. Recent research shows that artificial devices can achieve this bound, while biological processes consume more energy. This study demonstrates that biological devices can still reach the Landauer bound using a mechanosensitive channel from E. coli as a memory bit. The experiments and data analysis show that the heat dissipation in the gating transitions of the channel closely approaches its Landauer limit.
Article
Physics, Multidisciplinary
Kazunari Hashimoto, Chikako Uchiyama
Summary: Landauer's principle provides a fundamental lower bound for energy dissipation in quantum information erasure. Recent studies have found that the entropic bound is tighter for mixed initial states, while the thermodynamic bound is tighter for highly pure initial states, except when the system dynamics involve only phase relaxation.
Article
Multidisciplinary Sciences
Yu-Song Cao, Yanxia Liu, Rong Zhang
Summary: This paper explores the validity of entropy, heat, and information concepts in quantum field theory. It studies the interaction between a Dirac field and an Unruh-DeWitt detector and finds that the field always absorbs heat, while the detector's entropy depends on its motion status. Landauer's principle is verified in two considered cases, and it is shown that the distinguishability of fermions and anti-fermions becomes important when the initial state of the Dirac field is thermal.
Article
Physics, Multidisciplinary
Neal G. Anderson
Summary: This paper proves the generalized form of Landauer's bound on the dissipative cost of classical information processing in quantum-mechanical systems using a new approach. It also discusses the special cases of ideal and non-ideal information processing operations. These results have implications for understanding the links between logical reversibility, physical reversibility, and conditioning of operations in a broader context.
Article
Physics, Multidisciplinary
Roberto Zivieri
Summary: Magnetic skyrmions are topological swirling spin textures that can be manipulated and used as information carriers based on their thermodynamic properties. By converting thermodynamic entropy into information entropy, information can be stored and coded within skyrmions.
FRONTIERS IN PHYSICS
(2022)
Article
Physics, Multidisciplinary
Michael Paul Gough
Summary: This article explores the role of information energy as a source of dark energy. The formation of stars and structure in the universe leads to the emergence of dynamic and transitional dark energy, primarily contributed by heated gas and dust from stars. This information dark energy exhibits characteristics that can resolve various tensions and problems in cosmology, and it can be potentially falsified through experimental observation.
Article
Physics, Multidisciplinary
Sean Devine
Summary: The paper explores a thermodynamic system model using algorithmic information theory, showing that transferring a bit or restoring the original state in a reversible system requires an energy cost of kBln2T Joules. The principle is derived from the statistics of energy allocation and is applicable beyond the regime where the equipartition principle holds, quantifying the thermodynamic requirements to maintain a system away from equilibrium.
Article
Physics, Multidisciplinary
Alexander B. Boyd, James P. Crutchfield, Mile Gu
Summary: This article introduces the organizing principle of learning in adaptive thermodynamic systems, which is work maximization. In physical agents that efficiently harvest energy from their environment, the selection of the model determines the agent's architecture and the amount of useful work harvested. Selecting the agent that maximizes work is equivalent to finding the maximum-likelihood model, establishing an equivalence between nonequilibrium thermodynamics and dynamic learning.
NEW JOURNAL OF PHYSICS
(2022)
Article
Biochemistry & Molecular Biology
Eva Deli, James Peters, Zoltan Kisvarday
Summary: Researchers analyzed the energetic consequences of the brain in different cognitive states, finding significant differences in the energetic and entropic aftereffects of positive emotional states and negative emotional reactions, with important implications for mental energy.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2021)
Article
Multidisciplinary Sciences
Savin Treanta, Kamsing Nonlaopon, Muhammad Bilal Khan
Summary: In this paper, we investigate the nonlinear dynamics associated with controlled Lagrangians involving higher-order derivatives. We establish the controlled higher-order Hamilton ordinary differential equations and Hamilton-Jacobi partial differential equation for the considered class of Lagrangians governed by higher-order derivatives of the state variables. We also prove an invariance result with respect to the state variable and present illustrative applications to validate the theoretical results and highlight their effectiveness.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Multidisciplinary
Merab Gogberashvili, Beka Modrekiladze
Summary: The study investigates the application of the information conservation principle to classically isolated systems such as the Hubble sphere and black holes. The authors accept the analogy of Landauer's principle and estimate the contributions of entanglement information to dark energy, finding that it can explain the dark energy of the Universe and resolve the controversies surrounding superluminal motion and redshift of black holes.
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
(2022)
Article
Physics, Multidisciplinary
Salambo Dago, Ludovic Bellon
Summary: This study investigates the energy exchanges during erasure processes and the cost of fast operations. It reveals that fast operations require an overhead to Landauer's bound, mainly due to dissipation in the overdamped regime and heating of the memory in the underdamped regime.
PHYSICAL REVIEW LETTERS
(2022)
Article
Mathematics, Interdisciplinary Applications
Yuanyuan Jing, Zhi Li
Summary: The averaging principle for BSDEs and one-barrier RBSDEs with Lipschitz coefficients is explored, proposing averaged versions of these systems and quantitatively comparing their solutions. Under certain assumptions, the solutions to original systems can be approximated by the solutions to averaged stochastic systems in terms of mean square.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2021)
Article
Mathematics, Interdisciplinary Applications
Gaofeng Zong
Summary: This article discusses the Nash equilibrium of a stochastic differential game where the state process is governed by a controlled stochastic partial differential equation and the controllers may have limited information. By utilizing Kunita's stochastic flow theory and Malliavin calculus, an explicit strong solution and a generalized probabilistic representation for the linear stochastic partial differential equation are obtained, along with a stochastic maximum principle for optimal control and the Nash equilibrium for this type of stochastic differential game problem.
Article
Mathematics, Applied
Philipp G. Meyer, Holger Kantz, Yu Zhou
Summary: The study investigates the dynamics of particulate matter, nitrogen oxides, and ozone concentrations in Hong Kong, using fluctuation functions to measure their variability. Two relevant dynamical properties, including the scaling of fluctuations and deviations from the Gaussian distribution, are discussed. The research shows that while the scaling of fluctuations is associated with a regular seasonal cycle, the distribution of the process does not follow a normal distribution even after corrections for correlations and non-stationarity. Comparisons of predictability and other model parameters are made between different stations and pollutants.
Article
Physics, Multidisciplinary
Philipp G. Meyer, Erez Aghion, Holger Kantz
Summary: This study is part of the 'anomalous diffusion challenge', where research teams from around the world collaborate to develop and compare new techniques for inferring stochastic models from unknown time series and estimate the anomalous diffusion exponent in data. Using numerical methods and feature analysis, this study presents an automated algorithm for model selection.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Mathematics, Applied
Abdorasoul Ghasemi, Holger Kantz
Summary: The study investigates the cascading failure of lines in power networks and addresses the problem of learning statistical models to identify sparse interaction graphs between the lines. By using weighted l 1-regularized pairwise maximum entropy models, the study successfully captures both pairwise and indirect higher-order interactions, revealing asymmetric, strongly positive, and negative interactions between different line states. The findings have important implications for predicting network states and cascading phenomena.
Article
Geosciences, Multidisciplinary
Alejandro Tejedor, Jon Schwenk, Maarten Kleinhans, Ajay B. Limaye, Lawrence Vulis, Paul Carling, Holger Kantz, Efi Foufoula-Georgiou
Summary: The Braiding Index (BI) is a widely used metric for multi-thread river systems, but it fails to account for the diversity of channels within different cross-sections, omitting important information related to system complexity. In this study, the researchers propose a modification called the Entropic Braiding Index (eBI) which uses Shannon Entropy to encode the diversity of channels, providing a more comprehensive characterization of the system. They demonstrate that the ratio BI/eBI can quantify channel disparity, differentiate types of multi-thread systems, and assess the effect of discharge variability on river cross-section stability.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Physics, Multidisciplinary
Amin Padash, Erez Aghion, Alexander Schulz, Eli Barkai, Aleksei Chechkin, Ralf Metzler, Holger Kantz
Summary: We conducted numerical studies on a thermally driven, overdamped particle in the Sinai model with random quenched force field, showing that unbounded motion closely approaches the equilibrium state of finite systems due to time scale separation. Using a fast numerical algorithm, we explored phenomena up to 10^17 steps and studied the time-dependent mean squared displacement, mean energy, and entropy of the probability distribution.
NEW JOURNAL OF PHYSICS
(2022)
Article
Multidisciplinary Sciences
Mehrnaz Anvari, Elisavet Proedrou, Benjamin Schaefer, Christian Beck, Holger Kantz, Marc Timme
Summary: The authors propose a data-driven approach to create high-resolution load profiles and characterize their fluctuations. They analyze electricity consumption data of multiple countries and provide a generally applicable load model that offers a better understanding of demand dynamics and tools for disentangling mean demand and fluctuations.
NATURE COMMUNICATIONS
(2022)
Article
Physics, Fluids & Plasmas
D. Estevez-Moya, E. Estevez-Rams, H. Kantz
Summary: This study focuses on systems with local coupling, utilizing phase approximation to explore the dynamics of nonlinear oscillators. The researchers found different behaviors within the needle region and identified a smooth change of dynamics. The occurrence of wave-like patterns in the spatiotemporal diagrams suggests nontrivial correlations in both dimensions.
Article
Physics, Fluids & Plasmas
Nazmi Burak Budanur, Holger Kantz
Summary: In this study, we estimated the maximal Lyapunov exponent in large eddy simulations (LES) and direct numerical simulations of sinusoidally driven Navier-Stokes equations in three dimensions at different resolutions and Reynolds numbers. We found that the LES Lyapunov exponent diverges as an inverse power of the effective grid spacing, independent of the Reynolds number when nondimensionalized by Kolmogorov units. This suggests that the fine scale structures exhibit much faster error growth rates than the larger ones, imposing an upper bound on the prediction horizon that can be achieved by improving the precision of initial conditions through refining the measurement grid.
Article
Meteorology & Atmospheric Sciences
Imre M. Janosi, Holger Kantz, Jason A. C. Gallas, Miklos Vincze
Summary: This study introduces the concept of a vortex proxy and demonstrates its effectiveness in obtaining surface flow statistics of mesoscale vortices on a global scale. The study compares the results with a global vortex database and shows good agreement. The study also analyzes the drift velocities and kinetic energy transport of the vortices.
Article
Geosciences, Multidisciplinary
Riccardo Silini, Sebastian Lerch, Nikolaos Mastrantonas, Holger Kantz, Marcelo Barreiro, Cristina Masoller
Summary: This study uses multiple linear regression and a machine learning algorithm to improve the forecast of the European Centre for Medium-Range Weather Forecasts model for the Madden-Julian Oscillation (MJO). The results show that both methods improve the MJO prediction, with machine learning outperforming linear regression. The biggest improvement is seen in the prediction of the MJO geographical location and intensity.
EARTH SYSTEM DYNAMICS
(2022)
Article
Geosciences, Multidisciplinary
Hynek Bednar, Holger Kantz
Summary: This article examines the growth of prediction error in atmospheric transport and confirms the applicability of a power law for the scale-dependent error growth. It also demonstrates the limitations of a quadratic hypothesis and provides insight into the predictability of the ECMWF forecast system.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Physics, Multidisciplinary
Johannes A. Kassel, Holger Kantz
Summary: This study introduces a method that combines fractional calculus and discrete-time Langevin equations to reconstruct macroscopic models of one-dimensional stochastic processes with long-range correlations from sparsely sampled time series. The method is demonstrated using specific examples, showing the potential application of long-memory models in short-term to seasonal predictions.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Imre M. Janosi, Amin Padash, Jason A. C. Gallas, Holger Kantz
Summary: This study investigates the advection of passive tracers in the tropical Pacific region using numerical experiments. The results show significant inter- and intra-annual variations in the strength of advection, and reveal a significant anticorrelation between advection intensity and the Oceanic Nino Index (ONI) and a weaker positive correlation with the Southern Oscillation Index (SOI). The statistical properties of the tracers' trajectories suggest that they can be modeled as a 1D fractional Brownian motion process.
Article
Mathematics, Interdisciplinary Applications
Maryam Zamani, Erez Aghion, Peter Pollner, Tamas Vicsek, Holger Kantz
Summary: The study analyzed the citation time-series of manuscripts in physics, social science, and technology, revealing that the citation trajectories exhibit anomalous diffusion and their variance scales with time proportionally. Factors such as non-stationarity, long-ranged correlations, and a fat-tailed increment distribution were found to lead to this anomalous behavior. The papers showed high heterogeneity across fields, with the statistics of highly cited papers being fundamentally different from lower ones, and the citation data was shown to be highly correlated and non-stationary, with most papers dying out in time except for a small percentage with high number of citations.
JOURNAL OF PHYSICS-COMPLEXITY
(2021)
Article
Mathematics, Interdisciplinary Applications
Amin Padash, Trifce Sandev, Holger Kantz, Ralf Metzler, Aleksei Chechkin
Summary: The study focused on the dynamics and efficiency of asymmetric Levy flights in a one-dimensional random search model, using the Fokker-Planck equation with delta-sink and an asymmetric space-fractional derivative operator. Exact analytical results were found for the probability density of first-arrival times and search efficiency, and the behavior was analyzed for short and long times. Asymmetry in jumps resulted in higher efficiency of Levy search compared to symmetric Levy flights, with more pronounced effects for stable indices alpha close to unity.
FRACTAL AND FRACTIONAL
(2022)
