Results 51 to 60 of about 123,056 (357)

A Four Laws Structure for Looking at Economics through the Eyes of Thermodynamics

open access: yesEnergies
Thermodynamics is based on its Four Laws structure. Based on Thermodynamics and its Four Laws structure, this work presents and explores its economic counterpart, proposing an economic Four Laws structure to look at Economics through the eyes of ...
Vítor A. F. Costa
doaj   +1 more source

Magnetic charges and Wald entropy

open access: yesJournal of High Energy Physics, 2022
Using Wald’s formalism, we study the thermodynamics (first laws and Smarr formulae) of asymptotically-flat black holes, rings etc. in a higher-dimensional higher-rank generalization of the Einstein-Maxwell theory.
Tomás Ortín, David Pereñíguez
doaj   +1 more source

Consequences of Symmetries on the Analysis and Construction of Turbulence Models [PDF]

open access: yes, 2005
Since they represent fundamental physical properties in turbulence (conservation laws, wall laws, Kolmogorov energy spectrum, ...), symmetries are used to analyse common turbulence models.
Hamdouni, Aziz, Razafindralandy, Dina
core   +6 more sources

Relativistic non-equilibrium thermodynamics revisited

open access: yes, 2005
Relativistic irreversible thermodynamics is reformulated following the conventional approach proposed by Meixner in the non-relativistic case. Clear separation between mechanical and non-mechanical energy fluxes is made.
Israel W., Israel W., Pavon D.
core   +1 more source

The fourth law of thermodynamics: steepest entropy ascent [PDF]

open access: yesPhilosophical Transactions of the Royal Society A, 2019
When thermodynamics is understood as the science (or art) of constructing effective models of natural phenomena by choosing a minimal level of description capable of capturing the essential features of the physical reality of interest, the scientific ...
G. Beretta
semanticscholar   +1 more source

Energy Structure Theory: A General Unified Thermodynamics Theory

open access: yesInternational Journal of Thermodynamics, 2023
This study, while reviewing some of the established unified equations and fundamentals of the energy structure and providing a detailed interpretation of their physical concepts, expands the relevant equations for new topics and applications, and in fact,
Saeed Shahsavari, S. Boutorabi
semanticscholar   +1 more source

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Quantum engine efficiency bound beyond the second law of thermodynamics [PDF]

open access: yesNature Communications, 2017
According to the second law, the efficiency of cyclic heat engines is limited by the Carnot bound that is attained by engines that operate between two thermal baths under the reversibility condition whereby the total entropy does not increase.
W. Niedenzu   +4 more
semanticscholar   +1 more source

Thermodynamics, organisms and behaviour

open access: yesPhilosophical Transactions of the Royal Society A, 2023
The physical origin of behaviour in biological organisms is distinct from those of non-living systems in one significant way: organisms exhibit intentionality or goal-directed behaviour. How may we understand and explain this important aspect in physical
Benjamin De Bari   +3 more
semanticscholar   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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