Results 71 to 80 of about 5,005,278 (233)
Statistical Robotics: Controlling Multi Robot Systems Using Statistical-Physics
IEEE AccessIn a multi-robot system consisting of numerous agents, it may be impractical to individually identify each agent. Consequently, issuing specific commands to each agent might not be feasible.
Nir Shvalb, Shlomi Hacohen, Oded Medina
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Statistical mechanics of biomolecular condensates via cavity methods
iScience, 2023 Summary: Physical mechanisms of phase separation in living systems play key physiological roles and have recently been the focus of intensive studies. The strongly heterogeneous nature of such phenomena poses difficult modeling challenges that require ...
Nino Lauber +7 more
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Single trajectory characterization via machine learning
New Journal of Physics, 2020 In order to study transport in complex environments, it is extremely important to determine the physical mechanism underlying diffusion and precisely characterize its nature and parameters.
Gorka Muñoz-Gil +4 more
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Detecting composite orders in layered models via machine learning
New Journal of Physics, 2020 Determining the phase diagram of systems consisting of smaller subsystems ‘connected’ via a tunable coupling is a challenging task relevant for a variety of physical settings.
W Rządkowski +4 more
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Heliyon, 2019 In the present work, we applied scaled model to calculate surface tension, vapor densities and the critical temperatures of four different models of methanol: namely, H1, J1, J2 and L1 models.
Abdalla Obeidat, Mohammad Badarneh
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Collective dynamics of swarmalators with higher-order interactions
Communications PhysicsHigher-order interactions shape collective dynamics, but how they affect transitions between different states in swarmalator systems is yet to be determined. To that effect, we here study an analytically tractable swarmalator model that incorporates both
Md Sayeed Anwar +3 more
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Thermodynamic efficiency in dissipative chemistry
Nature Communications, 2019 Open chemical systems operate out of equilibrium, providing more opportunities than closed systems, but a theoretical framework to describe their performance is lacking. Here, the authors assess the efficiency of two classes of dissipative processes with
Emanuele Penocchio +2 more
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Gravitational wave propagation in a geometric condensate in Starobinsky cosmology
European Physical Journal C: Particles and FieldsIn this paper we propose a new paradigm for cosmology: a time dependent scalar condensate background originated from the quadratic $$(R + \alpha R^2)$$ ( R + α R 2 ) Starobinsky model, where R is the Ricci scalar and $$\alpha $$ α the coupling constant ...
Aurindam Mondal, Subir Ghosh
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The Noisy and Marvelous Molecular World of Biology
Inventions, 2019 At the molecular level biology is intrinsically noisy. The forces that regulate the myriad of molecular reactions in the cell are tiny, on the order of piconewtons (10−12 Newtons), yet they proceed in concerted action making life possible ...
Felix Ritort
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Influence of boundary conditions on stochastic movement of biological molecular motors
Applied and Computational Mechanics, 2018 The aim of this work is to show the use of statistical physics in biomechanics, especially for modelling a muscle on molecular level. To approximate stochastic (Markovian) evolution in the spatial variable of muscle configuration, we solve the Fokker ...
Krejčová M., Holeček M.
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