Zobrazeno 1 - 10
of 64 439
pro vyhledávání: '"A. Ebert"'
We study a generalised version of Gross-Neveu model in 2+1 dimensions. The model is inspired from graphene which shows a linear dispersion relation near the Dirac points. The phase structure and the thermodynamic properties in the mean field approxim
Externí odkaz:
http://arxiv.org/abs/2409.10507
Autor:
DeMaria, Mark, Franklin, James L., Chirokova, Galina, Radford, Jacob, DeMaria, Robert, Musgrave, Kate D., Ebert-Uphoff, Imme
In just the past few years multiple data-driven Artificial Intelligence Weather Prediction (AIWP) models have been developed, with new versions appearing almost monthly. Given this rapid development, the applicability of these models to operational f
Externí odkaz:
http://arxiv.org/abs/2409.06735
The growth of streamers is determined at their heads, for individual streamers as well as in collective phenomena, such as streamer trees or coronas or streamer bursts ahead of lighting leaders. Some properties of the streamer heads, such as velocity
Externí odkaz:
http://arxiv.org/abs/2409.04282
This paper critically examines the AI Act's provisions on climate-related transparency, highlighting significant gaps and challenges in its implementation. We identify key shortcomings, including the exclusion of energy consumption during AI inferenc
Externí odkaz:
http://arxiv.org/abs/2409.07471
Recent studies showcase the competitive accuracy of Vision Transformers (ViTs) in relation to Convolutional Neural Networks (CNNs), along with their remarkable robustness. However, ViTs demand a large amount of data to achieve adequate performance, w
Externí odkaz:
http://arxiv.org/abs/2408.14131
Protein dynamics play a crucial role in many biological processes and drug interactions. However, measuring, and simulating protein dynamics is challenging and time-consuming. While machine learning holds promise in deciphering the determinants of pr
Externí odkaz:
http://arxiv.org/abs/2408.12519
This article introduces a novel non-orthogonal multiple access (NOMA) scheme for coordinated uplink channels. The scheme builds on the recently proposed sparse-regression low-density parity-check (SR-LDPC) code, and extends the underlying notions to
Externí odkaz:
http://arxiv.org/abs/2408.11165
Spin and orbital Hall effect in non-magnetic transition metals: extrinsic vs intrinsic contributions
Autor:
Mankovsky, Sergiy, Ebert, Hubert
Kubo's linear response formalism has been used to calculate the orbital Hall conductivity (OHC) for non-magnetic undoped and doped transition metal systems, focusing on the impact of different types of disorder and the role of vertex corrections for
Externí odkaz:
http://arxiv.org/abs/2408.07814
This paper focuses on hyperparameter optimization for autonomous driving strategies based on Reinforcement Learning. We provide a detailed description of training the RL agent in a simulation environment. Subsequently, we employ Efficient Global Opti
Externí odkaz:
http://arxiv.org/abs/2407.14262
In this paper, we study the Cauchy problem for the linear plate equation with mass term and its applications to semilinear models. For the linear problem we obtain $L^p-L^q$ estimates for the solutions in the full range $1\leq p\leq q\leq \infty$, an
Externí odkaz:
http://arxiv.org/abs/2406.17211