Results 1 to 10 of about 4,538,601 (252)

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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Complexity and Statistical Physics Approaches to Earthquakes [PDF]

Entropy
This 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, Prithviraj Basak, John Bechhoefer, Steve Pressé   +3 more
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Insights into the quantification and reporting of model-related uncertainty across different disciplines

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, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim, Claudia Battistin, Nicola Bulso, Hannah M. Christensen, Benjamin Cretois, Ryan Cubero, Iván A. Davidovich, Lisa Dickel, Benjamin Dunn, Etienne Dunn-Sigouin, Karin Dyrstad, Sigurd Einum, Donata Giglio, Haakon Gjerløw, Amélie Godefroidt, Ricardo González-Gil, Soledad Gonzalo Cogno, Fabian Große, Paul Halloran, Mari F. Jensen, John James Kennedy, Peter Egge Langsæther, Jack H. Laverick, Debora Lederberger, Camille Li, Elizabeth G. Mandeville, Caitlin Mandeville, Espen Moe, Tobias Navarro Schröder, David Nunan, Jorge Sicacha-Parada, Melanie Rae Simpson, Emma Sofie Skarstein, Clemens Spensberger, Richard Stevens, Aneesh C. Subramanian, Lea Svendsen, Ole Magnus Theisen, Connor Watret, Robert B. O’Hara   +42 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, Anton Lüders, Peter Nielaba   +2 more
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Possible route to efficient thermoelectric applications in a driven fractal network

Scientific Reports, 2021
An essential attribute of many fractal structures is self-similarity. A Sierpinski gasket (SPG) triangle is a promising example of a fractal lattice that exhibits localized energy eigenstates.
Kallol Mondal, Sudin Ganguly, Santanu K. Maiti   +2 more
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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, Kevin Hoefman, Jan Ryckebusch, Aaron Bramson, Milan van den Heuvel, Koen Schoors   +5 more
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Wang--Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings [PDF]

Papers in Physics, 2015
We implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the ...
D. Slobinsky, Luis A. Pugnaloni
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Statistical Physics of Adaptation

Physical Review X, 2016
Whether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave
Nikolay Perunov, Robert A. Marsland, Jeremy L. England   +2 more
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Magnetisation reversal in Ising ferromagnet by thermal and field gradients

Heliyon, 2018
We report the results of the magnetisation reversal in Ising ferromagnet having thermal and field gradients by Monte Carlo simulation. We have studied the distribution of reversal times for different values of thermal and field gradients and compared the
Ranajay Datta, Muktish Acharyya, Abyaya Dhar   +2 more
doaj   +1 more source