Publications related to Critical exponent

Consensus Control for Decentralized Deep Learning

Martin Jaggi, Sebastian Urban Stich, Anastasiia Koloskova, Tao Lin, Lingjing Kong

Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers fro ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2021

Non-Wilson-Fisher kinks of O(N) numerical bootstrap: From the deconfined phase transition to a putative new family of CFTs

Ning Su

It is well established that the O(N) Wilson-Fisher (WF) CFT sits at a kink of the numerical bounds from bootstrapping four point function of O(N) vector. Moving away from the WF kinks, there indeed exists another family of kinks (dubbed non-WF kinks) on th ...

SCIPOST FOUNDATION2021

Synthesis, structural and magnetic characterization of thin films of the chiral magnets CoZnMn and FeGe

Anna Kúkol'ová

Skyrmions are topologically protected nanometer-sized magnetic vortices that have sparked interest for future spintronics applications aiming at high-density, high-speed and low-power consuming magnetic memory devices. One type of skyrmions appears in non- ...

EPFL2021

Vertex function compliant with the Ward identity for quasiparticle self-consistent calculations beyond GW

Alfredo Pasquarello, Aleksei Tal, Wei Chen

We extend the quasiparticle self-consistent approach beyond the GW approximation by using a range separated vertex function. The developed approach yields band gaps, dielectric constants, and band positions with an accuracy similar to highest-level electro ...

2021

Catalytic layer - membrane electrode assembly methods for optimum formation of triple phase boundaries and fuel cell performances.

Hubert Girault, Wanderson Oliveira Da Silva, Victor Costa Bassetto, Solène Cindy Gentil

Proton Exchange Membrane Fuel Cell (PEMFC), designed mainly for mobility applications, converts chemical energy to electrical energy. The formation of electrodes for PEMFC is a delicate balancing of transport media. Conductivity of gas, electrons, and prot ...

2021

Mixing and diffusion for rough shear flows

Maria Colombo, Klaus Martin Widmayer

This article addresses mixing and diffusion properties of passive scalars advected by rough (

C^\alpha

) shear flows. We show that in general, one cannot expect a rough shear flow to increase the rate of inviscid mixing to more than that of a smooth shear ...

2021

Prediction of Phonon-Mediated Superconductivity with High Critical Temperature in the Two-Dimensional Topological Semimetal W2N3

Nicola Marzari, Davide Campi

Two-dimensional superconductors attract great interest both for their fundamental physics and for their potential applications, especially in the rapidly growing field of quantum computing. Despite intense theoretical and experimental efforts, materials wi ...

2021

Bootstrapping mixed correlators in N=4 super Yang-Mills

Andrea Manenti, Alessandro Vichi

We perform a numerical bootstrap study of the mixed correlator system containing the half-BPS operators of dimension two and three in N = 4 Super Yang-Mills. This setup improves on previous works in the literature that only considered single correlators of ...

SPRINGER2021

Nonlocal Effects Reflect the Jamming Criticality in Frictionless Granular Flows Down Inclines

Matthieu Wyart, Hugo Robin Louis Perrin

The jamming transition is accompanied by a rich phenomenology such as hysteresis or nonlocal effects that is still not well understood. Here, we experimentally investigate a model frictionless granular layer flowing down an inclined plane as a way to disen ...

AMER PHYSICAL SOC2021

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Martin Jaggi, Sebastian Urban Stich, Amirkeivan Mohtashami

It has been experimentally observed that the efficiency of distributed training with stochastic gradient (SGD) depends decisively on the batch size and—in asynchronous implementations—on the gradient staleness. Especially, it has been observed that the spe ...

2021

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Consensus Control for Decentralized Deep Learning

Non-Wilson-Fisher kinks of O(N) numerical bootstrap: From the deconfined phase transition to a putative new family of CFTs

Synthesis, structural and magnetic characterization of thin films of the chiral magnets CoZnMn and FeGe

Vertex function compliant with the Ward identity for quasiparticle self-consistent calculations beyond GW

Catalytic layer - membrane electrode assembly methods for optimum formation of triple phase boundaries and fuel cell performances.

Mixing and diffusion for rough shear flows

Prediction of Phonon-Mediated Superconductivity with High Critical Temperature in the Two-Dimensional Topological Semimetal W2N3

Bootstrapping mixed correlators in N=4 super Yang-Mills

Nonlocal Effects Reflect the Jamming Criticality in Frictionless Granular Flows Down Inclines

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Vertex function compliant with the Ward identity for quasiparticle self-consistent calculations beyond GW

Catalytic layer - membrane electrode assembly methods for optimum formation of triple phase boundaries and fuel cell performances.

Bootstrapping mixed correlators in N=4 super Yang-Mills

Consensus Control for Decentralized Deep Learning

Non-Wilson-Fisher kinks of O(N) numerical bootstrap: From the deconfined phase transition to a putative new family of CFTs

Synthesis, structural and magnetic characterization of thin films of the chiral magnets CoZnMn and FeGe

Mixing and diffusion for rough shear flows

Prediction of Phonon-Mediated Superconductivity with High Critical Temperature in the Two-Dimensional Topological Semimetal W2N3

Nonlocal Effects Reflect the Jamming Criticality in Frictionless Granular Flows Down Inclines

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates