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Distance in Information and Statistical Physics III [PDF]
Entropy, 2023 This Special Issue is a subsequent edition of a previous collection that focused on the notion of distance in two major fields: Distance in Information and Statistical Physics Volume 2 [...]
Takuya Yamano
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The Problem of Engines in Statistical Physics [PDF]
Entropy, 2021 Engines are open systems that can generate work cyclically at the expense of an external disequilibrium. They are ubiquitous in nature and technology, but the course of mathematical physics over the last 300 years has tended to make their dynamics in ...
Robert Alicki +2 more
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New Journal of Physics, 2018 A key challenge in complex design problems that permeate science and engineering is the need to balance design objectives for specific design elements or subsystems with global system objectives. Global objectives give rise to competing design pressures,
Andrei A Klishin +3 more
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Statistical Physics of Evolving Systems [PDF]
Entropy, 2021 Evolution is customarily perceived as a biological process. However, when formulated in terms of physics, evolution is understood to entail everything.
Arto Annila
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Statistical physics of balance theory. [PDF]
PLoS ONE, 2017 Triadic relationships are accepted to play a key role in the dynamics of social and political networks. Building on insights gleaned from balance theory in social network studies and from Boltzmann-Gibbs statistical physics, we propose a model to ...
Andres M Belaza +5 more
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Complexity and Statistical Physics Approaches to Earthquakes [PDF]
EntropyThis Special Issue of Entropy, “Complexity and Statistical Physics Approaches to Earthquakes”, sees the successful publication of 11 original scientific articles [...]
Georgios Michas
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Inferring potential landscapes from noisy trajectories of particles within an optical feedback trap
iScience, 2022 Summary: While particle trajectories encode information on their governing potentials, potentials can be challenging to robustly extract from trajectories.
J. Shepard Bryan, IV +3 more
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iScience, 2022 Summary: Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse ...
Emily G. Simmonds +42 more
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Statistical physics of vaccination [PDF]
Physics Reports, 2016 150 pages, 42 figures; published in Physics ...
Wang, Zhen +8 more
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Capture and transport of rod-shaped cargo via programmable active particles
Scientific Reports, 2023 We study the influence of the cargo shape on the capture and transport process of colloidal rods via swarms of active particles using Brownian dynamics simulations.
Philipp Stengele +2 more
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