Results 71 to 80 of about 61,380 (270)

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Classification of complex systems by their sample-space scaling exponents

open access: yesNew Journal of Physics, 2018
The nature of statistics, statistical mechanics and consequently the thermodynamics of stochastic systems is largely determined by how the number of states W ( N ) depends on the size N of the system. Here we propose a scaling expansion of the phasespace
Jan Korbel, Rudolf Hanel, Stefan Thurner
doaj   +1 more source

The Zeroth Law of Thermodynamics and Volume-Preserving Conservative Dynamics with Equilibrium Stochastic Damping

open access: yes
We propose a mathematical formulation of the zeroth law of thermodynamics and develop a stochastic dynamical theory, with a consistent irreversible thermodynamics, for systems possessing sustained conservative stationary current in phase space while in ...
Andrey   +85 more
core   +2 more sources

Stochastic thermodynamics: principles and perspectives [PDF]

open access: yesThe European Physical Journal B, 2008
Stochastic thermodynamics provides a framework for describing small systems like colloids or biomolecules driven out of equilibrium but still in contact with a heat bath. Both, a first-law like energy balance involving exchanged heat and entropy production entering refinements of the second law can consistently be defined along single stochastic ...
openaire   +3 more sources

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Work producing reservoirs: Stochastic thermodynamics with generalized Gibbs ensembles [PDF]

open access: yes
We develop a consistent stochastic thermodynamics for environments composed of thermodynamic reservoirs in an external conservative force field, that is environments described by the Generalized or Gibbs canonical ensemble.
Esposito, Massimiliano   +1 more
core   +1 more source

N, S Co‐Doped Carbon Quantum Dots‐Riboflavin Composite Photosensitizers for Enhanced Iontophoresis‐Assisted Corneal Cross‐Linking

open access: yesAdvanced Science, EarlyView.
This study explores the use of N, S co‐doped carbon quantum dots (NS‐CQDs) as carriers for riboflavin, creating NS‐CQDs‐RF composite photosensitizers. These composites improve riboflavin absorption, enhance ROS generation efficiency, and preserve corneal epithelium integrity.
Tinghong Xu   +9 more
wiley   +1 more source

On the von Neumann entropy of a bath linearly coupled to a driven quantum system

open access: yesNew Journal of Physics, 2015
The change of the von Neumann entropy of a set of harmonic oscillators initially in thermal equilibrium and interacting linearly with an externally driven quantum system is computed by adapting the Feynman–Vernon influence functional formalism.
Erik Aurell, Ralf Eichhorn
doaj   +1 more source

Stochastic thermodynamics of inertial-like Stuart–Landau dimer

open access: yesNew Journal of Physics, 2021
Stuart–Landau limit-cycle oscillators are a paradigm in the study of coherent and incoherent limit cycles. In this work, we generalize the standard Stuart–Landau dimer model to include effects due to an inertia-like term and noise and study its dynamics ...
Jung-Wan Ryu   +3 more
doaj   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

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