25 papers · ranked by Valyu relevance
Bernard Twaróg, Xiaosong Chen, Reik Donner
The objective of this study is to analyze spatial entropy flows that reveal the directional dynamics of climate change-patterns that remain obscured in traditional statistical analyses. This approach enables the identification of pathways for “climate information transport”, highlights associations with atmospheric…
Alexandru Dinu, Yong Deng
Shannon entropy is the most common measure that one could use to check if a data source has random behaviour or not. A value close to the maximum is usually considered as evidence that the source is “random enough”. The present paper shows that this criterion alone is not enough. A deterministic logistic map driven at…
Terence Viaud, Ioannis Kontoyiannis
A new framework is introduced for examining and evaluating the fundamental limits of lossless data compression, that emphasizes genuinely non-asymptotic results. The sample complexity of compressing a given source is defined as the smallest blocklength at which it is possible to compress that source at a specified rate…
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park + 6 more
We present a photospike-based true random number generator (PS-TRNG) that exploits the intrinsic randomness from light-matter interaction and stochastic charge trapping. By integrating copper vanadate (CuV2O6) nanostructures with a tin dioxide quantum dot (SnO2 QD) layer, the device induces probabilistic…
D. Jerome Fisher, Qi‐Jun Hong
We demonstrate that Shannon's information entropy and the thermodynamic entropy of Boltzmann and Gibbs are quantitatively equivalent for real condensed-matter systems. By interpreting atomic configurations as information sources, we compute entropy directly from the compressibility of molecular-dynamics trajectories…
F. Ritort
Living cells are energy- and information-processing systems that sustain a nonequilibrium steady state (NESS) by continuously consuming energy and dissipating heat, as required by the second law of thermodynamics. The rate of heat dissipation, or the entropy production rate $σ$, is the universal primal life signal and…
Authors not listed
Gibbs’ paradox—the apparent discontinuity in mixing entropy for gases of varying similarity and the seeming reversibility of mixing-separation cycles—has resisted fully satisfactory resolution for 150 years. We present a solution based on categorical state theory, which posits that physical con f igurations are…
Roumen Tsekov
Entropy is critically examined as a fundamental concept in contemporary science and informatics. Although the typical Shannon entropy provides a proper framework for describing the canonical ensemble, it fails to represent adequately the microcanonical ensemble. This discrepancy manifests additionally in its inability…
Didier Lairez, Roberto Zivieri, Israa Medlej
The link between information and energy introduces the observer and their knowledge into the understanding of a fundamental quantity in physics. Two approaches compete to account for this link-Brillouin’s negentropy law of information and Landauer’s law on data erasure-which are often confused. The first, based on…
Qiao Ke, Chengjun Zhang, Chuang Liu, Mingxia Jing + 2 more
Qiao Ke, 1 Chengjun Zhang, 1 Chuang Liu, 1 Mingxia Jing,2, ∗ Suoyi Tan,3, † and Xiu-Xiu Zhan1, 4, ‡ 1 Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, China 2 Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang…
Luke Allen Myers, Nigel Lee En Hew, Shun‐Li Shang, Zi‐Kui Liu
The recursive property of entropy is well known in the field of information theory; however, the concept is rarely used in the field of thermodynamics, despite being the field where the concept of entropy originated. This work shows that the equation for entropy used in the zentropy, which is an exact multiscale…
J.P. Fiorenza, V Gnass, F Schneider, A Gail + 4 more
Many social behaviours unfold continuously in time, yet most studies of social influence rely on discrete, trial-based paradigms. To quantify how humans actually integrate sensory and social signals during ongoing perceptual decision-making we here apply an information-theoretic analysis to data obtained with the…
Aysima Hacisuleyman
Allostery is increasingly understood as the propagation of dynamic information through a protein, yet the computational descriptors of that flow are computed one structure at a time and carry no transferable, sequence-level prior. Here we build an alphabet of allostery: a dictionary of local contact words, short…
Authors not listed
The GENERIC framework provides a robust structure for nonequilibrium dynamics but lacks a principled method to select reversible ($L$) and irreversible ($M$) brackets. Similarly, finite-time optimizations minimizing path-averaged reciprocal temperature exist but remain isolated. Here, we introduce the \textbf{Entropy…
Kundai Farai Sachikonye
This work presents a novel thermodynamic computer vision framework for biological image analysis that reformulates traditional image processing problems within the context of statistical mechanics and molecular dynamics. The approach treats image pixels as information-carrying entities analogous to gas molecules, where…
Maxim V. Churilov
Objective facts in quantum Darwinism are values recorded redundantly in many independently accessible fragments of the environment. Redundancy does not create additional logical information, so its thermodynamic meaning has remained unclear. We show that it creates an exact work asymmetry between controllers with…
Neri Merhav, Jun Chen
We derive a few extended versions of the Kraft inequality for lossy compression, which pave the way to the derivation of several refinements and extensions of the well-known Shannon lower bound in a variety of instances of rate-distortion coding. These refinements and extensions include sharper bounds for one-to-one…
Ning Wang, Mingyan Wu, Weihuan Fang, Jiawen Sun + 5 more
Sample entropy is a useful tool to analyze resting-state fMRI data and evaluate the complexity of neural activity. However, sample entropy computed from conventional BOLD signals is not highly resistant to artifacts. In contrast, T2 may be more sensitive to certain neural-related changes, and directly incorporating T2…
Aysima Hacisuleyman
Allosteric communication in proteins is commonly quantified as a directed or undirected coupling between residues, but such descriptors mix distinct modes of signalling into a single pattern. Here we treat the net transfer entropy flux from a dynamic Gaussian network(dGNM) model as an edge flow on the residue contact…
Johannes P.-H. Seiler, Jens-Bastian Eppler, Saman Seifpour, Lukas C. Wiese + 4 more
Boredom – a pervasive mental state – promotes the pursuit of novel information by assigning negative value to monotonous conditions. Yet, how the brain extracts and represents the information content of ongoing sensory experience remains poorly understood. Here, we combine behavioral assays, neurophysiological…
Authors not listed
Tandem mass spectrometry (MS/MS) fragmentation is conventionally understood as stochastic bond cleavage determined by thermochemical bond strengths and collision energies. We demonstrate that fragmentation is a deterministic categorical state progression governed by phase-lock network topology, where fragment…
R. E. Kastner
This work provides an overview of key historical developments in the formulation of the Second Law of Thermodynamics, focusing on the notorious challenge of ``Maxwell's Demon'', a hypothetical creature who could presumably violate that law. It begins by recalling Maxwell's challenge and discussing the apparent loophole…
Chris Jeynes, Michael C. Parker, Miguel Rubi
The Gibbs Paradox (concerning the entropy of mixing and entropic extensivity) was explored in depth by Edwin Jaynes (1992). We take up Jaynes’ treatment, considering the special cases for which entropy is (approximately) extensive, and the general case in which it is not. We also explore the Holographic Principle which…
Authors not listed
A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Authors not listed
We present a theoretical and computational framework for virtual mass spectrometry based on Molecular Maxwell Demons (MMDs) operating as information catalysts. Building on the biological Maxwell demon framework, we demonstrate that mass spectrometry data contain categorical state information that is fundamentally…