Results 91 to 100 of about 5,971 (239)

Schrödinger link between nonequilibrium thermodynamics and Fisher information [PDF]

, 2002
It is known that equilibrium thermodynamics can be deduced from a constrained Fisher information extemizing process. We show here that, more generally, both nonequilibrium and equilibrium thermodynamics can be obtained from such a Fisher treatment ...
Soffer, B.H., Soffer, B. H., Plastino, Ángel Ricardo, Plastino, Ángel Luis, Frieden, B. R., Frieden, B.R.   +5 more
core   +1 more source

Nonequilibrium Thermodynamics of the Majority Vote Model. [PDF]

Entropy (Basel), 2023
Hawthorne F, Harunari PE, de Oliveira MJ, Fiore CE.   +3 more
europepmc   +1 more source

Tracking Dynamic Sulfur Electrochemistry by Operando Techniques in Alkali Metal‐Sulfur Batteries

Advanced Energy Materials, EarlyView.
Dynamic sulfur electrochemistry in alkali metal‐sulfur batteries is tracked through operando spectroscopy, scattering, imaging, and modelling. This Review connects sulfur reaction pathways, polysulfide transport, electrolyte/interphase evolution, anode chemistry, and quantitative mechanistic analysis across Li‐S, Na‐S, and K‐S batteries, providing ...
Fangli Zhang, Meixuan Niu, Junya Huang, Dawei Su   +3 more
wiley   +1 more source

Thermodynamics as a nonequilibrium path integral [PDF]

, 2010
Thermodynamics is a well-developed tool to study systems in equilibrium but no such general framework is available for nonequilibrium processes. The only hope for a quantitative description is to fall back upon the equilibrium language as often done in ...
Sadhukhan, Poulomi, Bhattacharjee, Somendra M.   +1 more
core   +1 more source

Nonequilibrium thermodynamics of wealth condensation [PDF]

Physica A: Statistical Mechanics and its Applications, 2006
8 pages, 8 ...
openaire   +2 more sources

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Non-Equilibrium Thermodynamics of Micro Technologies

Entropy, 2019
This is the Editorial article summarizing the scope and contents of the Special Issue, Non-Equilibrium Thermodynamics of Micro Technologies.
Mohsen Torabi, Nader Karimi, Mostafa Ghiaasiaan, Somchai Wongwises   +3 more
doaj   +1 more source

Nonequilibrium thermodynamics and mitochondrial protein content predict insulin sensitivity and fuel selection during exercise in human skeletal muscle. [PDF]

Front Physiol, 2023
Zapata Bustos R, Coletta DK, Galons JP, Davidson LB, Langlais PR, Funk JL, Willis WT, Mandarino LJ.   +7 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source