Concept
Entropy (statistical thermodynamics)
Publications associées (157)
Statistical nature of the incipient plasticity in amorphous alloys
Statistical analyses of the first pop-in stress data, obtained by spherical tip-nanoindentation experiments on different metallic glasses (MGs) with tip radius, R-i, loading rate, (P) over dot, and structural state of the glass as experimental variables, s ...
PERGAMON-ELSEVIER SCIENCE LTD2020EEG microstates are a candidate endophenotype for schizophrenia
Michael Herzog, Christine Mohr, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo
Electroencephalogram microstates are recurrent scalp potential configurations that remain stable for around 90 ms. The dynamics of two of the four canonical classes of microstates, commonly labeled as C and D, have been suggested as a potential endophenoty ...
2020Effective stress jump across membranes
François Gallaire, Giuseppe Antonio Zampogna
A macroscopic condition to simulate the interaction between an incompressible fluid flow and a permeable micro-structured rigid surface (i.e. a thin membrane) has been developed using multiscale homogenization and matching asymptotic expansions between the ...
CAMBRIDGE UNIV PRESS2020Persistent decay of fresh xylem hydraulic conductivity varies with pressure gradient and marks plant responses to injury
Defining plant hydraulic traits is central to the quantification of ecohydrological processes ranging from land-atmosphere interactions, to tree mortality and water-carbon budgets. A key plant trait is the xylem specific hydraulic conductivity (Kx), that d ...
2020Nuclear Quantum Effects: Fast and Accurate
Atomistic simulations are a bottom up approach that predict properties
of materials by modelling the quantum mechanical behaviour of all electrons
and nuclei present in a system. These simulations, however, routinely assume
nuclei to be classical particles ...
EPFL2020The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
Macroscopic data aggregated from microscopic events are pervasive in machine learning, such as country-level COVID-19 infection statistics based on city-level data. Yet, many existing approaches for predicting macroscopic behavior only use aggregated data, ...
2020On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
Nicolas Henri Bernard Flammarion, Scott William Pesme, Aymeric Daphnis Kévin Dieuleveut
Constant step-size Stochastic Gradient Descent exhibits two phases: a transient phase during which iterates make fast progress towards the optimum, followed by a stationary phase during which iterates oscillate around the optimal point. In this paper, we s ...
2020Fluctuation relations for systems in a constant magnetic field
Sara Bonella, Alessandro Coretti
The validity of the fluctuation relations (FRs) for systems in a constant magnetic field is investigated. Recently introduced time-reversal symmetries that hold in the presence of static electric and magnetic fields and of deterministic thermostats are use ...
2020Multiple Magnetic Bilayers and Unconventional Criticality without Frustration in BaCuSi2O6
Frédéric Mila, Bruce Normand, Christian Rüegg, Gregory Scott Tucker, Nicolas Laflorencie
The dimerized quantum magnet BaCuSi2O6 was proposed as an example of "dimensional reduction" arising near the magnetic-field-induced quantum critical point (QCP) due to perfect geometrical frustration of its interbilayer interactions. We demonstrate by hig ...
AMER PHYSICAL SOC2020Critical scaling for an anisotropic percolation system on Z(2)
In this article, we consider an anisotropic finite-range bond percolation model on Z(2). On each horizontal layer {(x, i): x is an element of Z} we have edges for 1
UNIV WASHINGTON, DEPT MATHEMATICS2020