Aims
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced. There are in addition three unique features:
Manuscripts regarding research proposals and research ideas will be particularly welcome.
Comments on any related papers published in this journal and other journals can be published as short letters.
Electronic files regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, will be deposited as supplementary material.
Scope
Entropy deals with the development and/or application of entropy or information-theoretic concepts in a wide variety of applications. Relevant submissions ought to focus on one of the following:
develop the theory behind entropy or information theory
provide new insights into entropy or information-theoretic concepts
demonstrate a novel use of entropy or information-theoretic concepts in an application
obtain new results using concepts of entropy or information theory
Some Common Subject or Application Areas include:
Physics and Engineering: thermodynamics, statistical mechanics, the second law of thermodynamics, reversibility, quantum mechanics, black hole physics, maximum entropy methods, maximum entropy production, evolution of the universe
Information Theory: Shannon entropy, Kullback-Leibler divergence, channel capacity, Renyi and other entropies, and applications
Complex Systems: self-organization, chaos and nonlinear dynamics, simplicity and complexity, networks, symmetry breaking, similarity
Inquiry: experimental design, database querying, sensor placement, intelligent sampling
Computing: big data, database design and querying, networks, cloud computing, pattern recognition, coding and compression, information transfer, reversibility, information loss, social networking
Chemistry and Biology: chemical networks, energy, enthalpy, maximum entropy methods, biological networks, evolution, DNA and RNA, diversity
Machine Learning and Systems Theory: artificial intelligence, neural networks, cybernetics, robotics, man-machine interfaces
Economics: thermoeconomics, info-metrics, maximum entropy methods, game theory