نتایج جستجو برای: mechanical entropy

تعداد نتایج: 300002  

Journal: :High Entropy Alloys & Materials 2023

The effects of hot-rolling (HR), cold-rolling (CR), and HR + CR followed by aging on the microstructure mechanical properties medium-entropy alloy (MEA) Ni43.4Co25.3Cr25.3Al3Ti3 were investigated. geometrically-necessary dislocation (GND) density increased with increasing cold rolling reduction to 1.8–2.4 × 1014 m−2, which is eight times 2.9 1013 m−2 found in as-hot-rolled MEA. Higher before le...

Journal: :physical chemistry and electrochemistry 0

an analytical equation of state is applied to calculate the thermodynamic properties for argon. theequation of state is that of song and mason. it is based on a statistical-mechanical perturbation theory ofhard convex bodies and can be written as fifth-order polynomial in the density. there exist three temperaturedependentparameters: the second virial coefficient, an effective molecular volume,...

2008
S. Rai

We introduce an entropy of the form −Tr(ρnlogρ) to investigate quantum mechanical properties, like entanglement, for mixed states. We compare it to other quantum entropies where the power of the density matrix has been used to obtain more information than the Von Neumann entropy. We discuss both the pure state case and the mixed state case (Werner state) with special regard to separability. The...

Journal: :Physical review letters 2008
Erell Bonnot Ricardo Romero Lluís Mañosa Eduard Vives Antoni Planes

The elastocaloric effect in the vicinity of the martensitic transition of a Cu-Zn-Al single crystal has been studied by inducing the transition by strain or stress measurements. While transition trajectories show significant differences, the entropy change associated with the whole transformation (DeltaS_(t)) is coincident in both kinds of experiments since entropy production is small compared ...

2014
Denis Serre

We study the long-time stability of shock-free solutions of hyperbolic systems of conservations laws, under arbitrarily large initial disturbance in L2∩L∞. We use the relative entropy method, a robust tool which allows us to consider rough and large disturbances. We display practical examples in several space dimensions, for scalar equations as well as isentropic gas dynamics. For full gas dyna...

2007
S. C

A key test of any quantum theory of gravity is its ability to reproduce the known thermodynamic properties of black holes. A statistical mechanical description of the Bekenstein-Hawking entropy once seemed remote, but today we suffer an embarrassment of riches: many different approaches to quantum gravity yield the same entropy, despite counting very different states. This " universality " sugg...

2004
NIGEL J. NEWTON

We develop a physical analogy for the Kalman-Bucy filter, in which the partially observed signal describes a statistical mechanical system interacting with a heat bath. The ‘universe’ comprising this system and the heat bath obeys a non-decrease law of entropy similar to the Second Law of Thermodynamics. However, this law can be violated in the presence of partial observations. Like Maxwell’s d...

Journal: :Journal of biomedical optics 2001
D D Duncan S J Kirkpatrick

Parametric and nonparametric data processing schemes for analyzing translating laser speckle data used to investigate the mechanical behavior of biological tissues are examined. Cross-correlation, minimum mean square estimator, maximum likelihood, and maximum entropy approaches are discussed and compared on speckle data derived from cortical bone samples undergoing dynamic loading. While it was...

Journal: :Chest 1977
J H Eisele

EDITORIALS 211 inotropic agents (such as the catecholamines, calcium ions, and digitalis), and paired electrical stimulation. Entropy also increases during congestive heart failure, which may be thought of as an expression of a defect in the utilization of energy, a partial chemicomechanical uncoupling. The entropy of the myocardial cell tends to be reduced by negative inotropic agents, such as...

2013
Ehsan Abbasnejad Edwin V. Bonilla Scott Sanner

We propose a decision-theoretic sparsification method for Gaussian process preference learning. This method overcomes the lossinsensitive nature of popular sparsification approaches such as the Informative Vector Machine (IVM). Instead of selecting a subset of users and items as inducing points based on uncertainty-reduction principles, our sparsification approach is underpinned by decision the...

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