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The random coefficient two-stage regression algorithm with the collisional Maxwell-Vlasov constraint is applied to the ITER H-mode confinement database. The data violate the collisional Maxwell-Vlasov constraint at the 10-30% significance…

等离子体物理 · 物理学 2018-04-11 Kurt S. Riedel

Results from C. Paz-Soldan et al 2024 Nucl. Fusion 64 094002 demonstrate encouraging energy confinement properties for the negative triangularity scenario, similar to or exceeding the scaling of the IPB98(y,2) law. This work describes the…

等离子体物理 · 物理学 2025-09-09 P. Lunia , A. O. Nelson , C. Paz-Soldan

We derive the differential equation, which is satisfied by the ITER scalings for the dynamic energy confinement time. We show that this differential equation can also be obtained from the differential equation for the energy confinement…

等离子体物理 · 物理学 2015-10-28 Giorgio Sonnino , Alberto Sonnino , Jarah Evslin , György Steinbrecher

We evaluate analytically and numerically the size of the frozen core and various scaling laws for critical Boolean networks that have a power-law in- and/or out-degree distribution. To this purpose, we generalize an efficient method that…

分子网络 · 定量生物学 2015-06-12 Marco Möller , Barbara Drossel

Topic is the divertor broadening $S$, being a result of perpendicular transport in the scrape-off layer and resulting in a better distribution of the power load onto the divertor target. Recent studies show a scaling of the divertor…

等离子体物理 · 物理学 2019-05-28 Dirk Nille , Bernhard Sieglin , Thomas Eich

We study the scaling properties of critical particle systems confined by a potential. Using renormalization-group arguments, we show that their critical behavior can be cast in the form of a trap-size scaling, resembling finite-size scaling…

统计力学 · 物理学 2013-05-29 Massimo Campostrini , Ettore Vicari

We present a finite-size scaling analysis of the droplet condensation-evaporation transition of a lattice gas (in two and three dimensions) and a Lennard-Jones gas (in three dimensions) at fixed density. Parallel multicanonical simulations…

软凝聚态物质 · 物理学 2015-08-04 Johannes Zierenberg , Wolfhard Janke

The scrape-off layer power width (\lambda_q) is an important parameter for characterizing the divertor heat loads. Many experimental, theoretical, and numerical studies have been performed in recent years. In this paper, a 2D electrostatic…

等离子体物理 · 物理学 2022-05-26 X. Liu , A. H. Nielsen , J. J. Rasmussen , V. Naulin , L. Wang , R. Ding , J. Li

We consider the three-dimensional site-diluted Ising model with power-law correlated defects and study the critical behavior of the second-moment correlation length and the magnetic susceptibility in the high-temperature phase. By…

统计力学 · 物理学 2023-03-06 S. Kazmin , W. Janke

We prove a law of large numbers and a central limit theorem for a tagged particle in a symmetric simple exclusion process in the one-dimensional lattice with variable diffusion coefficient. The scaling limits are obtained from a similar…

统计力学 · 物理学 2009-04-24 Milton Jara , Patricia Goncalves

The rate of metastable decay in nonequilibrium systems is expected to display scaling behavior: i.e., the logarithm of the decay rate should scale as a power of the distance to a bifurcation point where the metastable state disappears.…

统计力学 · 物理学 2009-09-29 Oleg Kogan

We discuss the scaling of the interaction energy with particle numbers for a harmonically trapped two-species mixture at thermal equilibrium experiencing interactions of arbitrary strength and range. In the limit of long-range interactions…

统计力学 · 物理学 2019-02-12 Francisco Jauffred , Roberto Onofrio , Bala Sundaram

Sampling Boltzmann probability distributions plays a key role in machine learning and optimization, motivating the design of hardware accelerators such as Ising machines. While the Ising model can in principle encode arbitrary optimization…

机器学习 · 计算机科学 2025-08-01 Corentin Delacour , M Mahmudul Hasan Sajeeb , Joao P. Hespanha , Kerem Y. Camsari

Confined electrons in low dimensions host desirable material functions for downscaled electronics as well as advanced energy technologies. Thermoelectricity is a most fascinating example, since the dimensionality modifies the electron…

材料科学 · 物理学 2022-10-24 Naoki Kouda , Kyohei Eguchi , Ryuji Okazaki , Masafumi Tamura

A one-dimensional diagonal tight binding electronic system with correlated disorder is investigated. The correlation of the random potential is exponentially decaying with distance and its correlation length diverges as the concentration of…

无序系统与神经网络 · 物理学 2009-11-11 I Avgin

Deep ResNets are recognized for achieving state-of-the-art results in complex machine learning tasks. However, the remarkable performance of these architectures relies on a training procedure that needs to be carefully crafted to avoid…

机器学习 · 计算机科学 2025-03-04 Pierre Marion , Adeline Fermanian , Gérard Biau , Jean-Philippe Vert

We report the results of a molecular dynamics simulation of a supercooled binary Lennard-Jones mixture. By plotting the self intermediate scattering functions vs. rescaled time, we find a master curve in the $\beta$-relaxation regime. This…

凝聚态物理 · 物理学 2009-10-22 Walter Kob , Hans C. Andersen

Previous studies of incommensurate systems concluded that critical scaling in such systems is sensitively dependent on the irrational, $\alpha$, which determines the incommensuration. Contrary to this belief, in the canonical…

统计力学 · 物理学 2022-06-08 Luke Yeo , Philip J. D. Crowley

Similarity experiments were performed on the DIII-D and TCV tokamaks to explore the scaling of energy confinement in negative triangularity plasmas using non-dimensional variables. Near up-down symmetric plasmas with large top-bottom…

When training deep neural networks, a model's generalization error is often observed to follow a power scaling law dependent both on the model size and the data size. Perhaps the best known example of such scaling laws are for…

机器学习 · 计算机科学 2024-11-12 Alex Havrilla , Wenjing Liao
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