Results 141 to 150 of about 487,019 (287)

Generalized fluctuation-dissipation theorem for nonlinear response functions

open access: yes, 2002
A nonlinear generalization of the fluctuation-dissipation theorem (FDT) for the n-point Green functions and the amputated one particle irreducible vertex functions at finite temperature is derived in the framework of the closed time path formalism.
Ulrich Heinz   +3 more
core   +1 more source

Many-body correlations in the kinetic theory of solids

open access: yesMoldavian Journal of the Physical Sciences, 2009
Multiquantum integral kinetic equations for the micropolarization and longitudinal di- electric function are derived with account of pair correlations.
Cliucanov, Alexandr
doaj  

Drought Exposure and Dynamic Input Adjustment in North Central U.S. Agriculture

open access: yesAgribusiness, EarlyView.
ABSTRACT This article examines whether realized extreme drought episodes affect the speed of adjustment of derived input demands and output supplies toward their long‐run equilibrium in U.S. agriculture, focusing on states in the North Central Region.
Victor H. Lana Pinto   +2 more
wiley   +1 more source

Fluctuation theorem and mesoscopic chemical clocks

open access: yes, 2008
The fluctuation theorems for dissipation and the currents are applied to the stochastic version of the reversible Brusselator model of nonequilibrium oscillating reactions.
David Andrieux   +3 more
core   +1 more source

Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
KRAS mutation demonstrated a prognostic impact according to primary tumor sidedness, independent of tumor morphology, in patients undergoing hepatectomy for colorectal liver metastases. A nomogram integrating biological and clinicopathological factors was developed to provide continuous biological risk assessment.
Yuzo Umeda   +9 more
wiley   +1 more source

Fluctuation theorem and extended thermodynamics of turbulence. [PDF]

open access: yesProc Math Phys Eng Sci, 2020
Porporato A   +3 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Chaotic hypothesis: Onsager reciprocity and fluctuation--dissipation theorem

open access: yes, 1996
It is shown that the "chaoticity hypothesis", recently introduced in statistical mechanics, which is analogous to Ruelle's principle for turbulence, implies the Onsager reciprocity and the fluctuation dissipation theorem in various reversible models for ...
GALLAVOTTI, Giovanni
core   +1 more source

Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network

open access: yesAdvanced Intelligent Discovery, EarlyView.
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia   +3 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

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