Zobrazeno 1 - 10
of 7 395
pro vyhledávání: '"Rosenow A"'
Autor:
Rosenow, Bernd, Del Maestro, Adrian
One-dimensional bosonic systems, such as helium confined to nanopores, exhibit Luttinger liquid behavior characterized by density waves as collective excitations. We investigate the impact of a scattering potential on a low dimensional quantum liquid
Externí odkaz:
http://arxiv.org/abs/2411.13654
Autor:
Bhusal, Bhumi, Sanpitak, Pia Panravi, Vu, Jasmine, Jiang, Fuchang, Richardson, Jacob, Seiberlich, Nicole, Rosenow, Joshua M., Elahi, Behzad, Golestanirad, Laleh
Purpose: Low-field MRI has been assumed to be implant-friendly based on limited studies. However, RF-induced heating due to an implant is a complex resonance phenomenon, highly dependent on the implant's configurations and the applied RF frequencies.
Externí odkaz:
http://arxiv.org/abs/2410.19943
As large language models (LLMs) become central to AI applications, gaining a deeper understanding of their inner workings is increasingly important. In this work, we analyze the weight matrices of pretrained transformer models -- specifically BERT an
Externí odkaz:
http://arxiv.org/abs/2410.17770
Autor:
Worschech, Roman, Rosenow, Bernd
Neural scaling laws describe how the performance of deep neural networks scales with key factors such as training data size, model complexity, and training time, often following power-law behaviors over multiple orders of magnitude. Despite their emp
Externí odkaz:
http://arxiv.org/abs/2410.09005
Autor:
Arzemanzadeh, Sajjad, Zwick, Benjamin, Miller, Karol, Rosenow, Tim, Hodgetts, Stuart I., Wittek, Adam
Computational biomechanics models of the brain have become an important tool for investigating the brain responses to mechanical loads. The geometry, loading conditions, and constitutive properties of such brain models are well-studied and generally
Externí odkaz:
http://arxiv.org/abs/2409.05365
Autor:
Thamm, Matthias, Rosenow, Bernd
Publikováno v:
Phys. Rev. Lett. 132, 156501 (2024)
Unlike bosons and fermions, quasi-particles in two-dimensional quantum systems, known as anyons, exhibit statistical exchange phases that range between $0$ and $\pi$. In fractional quantum Hall states, these anyons, possessing a fraction of the elect
Externí odkaz:
http://arxiv.org/abs/2312.04475
We investigate the effects of electronic correlations on the Bernevig-Hughes-Zhang model using the real-space density matrix renormalization group (DMRG) algorithm. We introduce a method to probe topological phase transitions in systems with strong c
Externí odkaz:
http://arxiv.org/abs/2310.17614
We investigate the relaxation dynamics in a chiral one-dimensional quantum channel with finite range interactions, driven out of equilibrium by the injection of high-energy electrons. While the distribution of high-energy electrons, after dissipation
Externí odkaz:
http://arxiv.org/abs/2306.09891
Large annotated datasets inevitably contain noisy labels, which poses a major challenge for training deep neural networks as they easily memorize the labels. Noise-robust loss functions have emerged as a notable strategy to counteract this issue, but
Externí odkaz:
http://arxiv.org/abs/2306.05497
Autor:
Kühn, Marcel, Rosenow, Bernd
Stochastic gradient descent (SGD) has become a cornerstone of neural network optimization, yet the noise introduced by SGD is often assumed to be uncorrelated over time, despite the ubiquity of epoch-based training. In this work, we challenge this as
Externí odkaz:
http://arxiv.org/abs/2306.05300