Zobrazeno 1 - 10
of 22 893
pro vyhledávání: '"Ruff, A"'
Autor:
Kauffmann, Jacob, Dippel, Jonas, Ruff, Lukas, Samek, Wojciech, Müller, Klaus-Robert, Montavon, Grégoire
Unsupervised learning has become an essential building block of AI systems. The representations it produces, e.g. in foundation models, are critical to a wide variety of downstream applications. It is therefore important to carefully examine unsuperv
Externí odkaz:
http://arxiv.org/abs/2408.08041
Autor:
Alvarado, S. J. Gomez, Pokharel, G., Ortiz, B. R., Paddison, Joseph A. M., Sarker, Suchismita, Ruff, J. P. C., Wilson, Stephen D.
Here we resolve the real-space nature of the high-temperature, short-range charge correlations in the kagome metal ScV$_6$Sn$_6$. Diffuse scattering appears along a frustrated wave vector $\textbf{q}_H=(\frac{1}{3},\frac{1}{3},\frac{1}{2})$ at temper
Externí odkaz:
http://arxiv.org/abs/2407.12099
Autor:
Wang, Haozhe, de la Torre, Alberto, Race, Joseph T., Wang, Qiaochu, Ruff, Jacob P. C., Woodward, Patrick M., Plumb, Kemp W., Walker, David, Xie, Weiwei
In this study, we report a tetragonal perovskite structure of SrIrO$_3$ (P4/mmm, a = 3.9362(9) \r{A}, c = 7.880(3) \r{A}) synthesized at 6 GPa and 1400 $\deg$C, employing the ambient pressure monoclinic SrIrO$_3$ with distorted 6H structure as a prec
Externí odkaz:
http://arxiv.org/abs/2407.07984
Autor:
de la Torre, A., Wang, Q., Campbell, B., Riffle, J. V., Balasundaram, D., Vora, P. M., Ruff, J. P. C., Hollen, S. M., Plumb, K. W.
Ultrafast light-matter interaction has emerged as a new mechanism to exert control over the macroscopic properties of quantum materials toward novel functionality. To date, technological applications of these non-thermal phases are limited by their u
Externí odkaz:
http://arxiv.org/abs/2407.07953
Autor:
Dippel, Jonas, Prenißl, Niklas, Hense, Julius, Liznerski, Philipp, Winterhoff, Tobias, Schallenberg, Simon, Kloft, Marius, Buchstab, Oliver, Horst, David, Alber, Maximilian, Ruff, Lukas, Müller, Klaus-Robert, Klauschen, Frederick
While previous studies have demonstrated the potential of AI to diagnose diseases in imaging data, clinical implementation is still lagging behind. This is partly because AI models require training with large numbers of examples only available for co
Externí odkaz:
http://arxiv.org/abs/2406.14866
Today we rely on networks that are created and maintained by smart devices. For such networks, there is no governing central authority but instead the network structure is shaped by the decisions of selfish intelligent agents. A key property of such
Externí odkaz:
http://arxiv.org/abs/2403.15307
We report X-ray diffraction and resonant elastic X-ray scattering (REXS) studies on two $\alpha$-RuCl$_{3}$ crystals with distinct magnetic transition temperatures: T$_{N}$=7.3K and 6.5K. We find that the sample with T$_{N}$=6.5K exhibits a high degr
Externí odkaz:
http://arxiv.org/abs/2403.04176
Autor:
Dippel, Jonas, Feulner, Barbara, Winterhoff, Tobias, Milbich, Timo, Tietz, Stephan, Schallenberg, Simon, Dernbach, Gabriel, Kunft, Andreas, Heinke, Simon, Eich, Marie-Lisa, Ribbat-Idel, Julika, Krupar, Rosemarie, Anders, Philipp, Prenißl, Niklas, Jurmeister, Philipp, Horst, David, Ruff, Lukas, Müller, Klaus-Robert, Klauschen, Frederick, Alber, Maximilian
Artificial intelligence has started to transform histopathology impacting clinical diagnostics and biomedical research. However, while many computational pathology approaches have been proposed, most current AI models are limited with respect to gene
Externí odkaz:
http://arxiv.org/abs/2401.04079
We report X-ray diffraction and magnetic susceptibility studies of the structural phase transition in $\alpha$-RuCl$_{3}$. By utilizing a single crystal sample with predominantly single twin domain, we show that $\alpha$-RuCl$_{3}$ goes from high-tem
Externí odkaz:
http://arxiv.org/abs/2311.04000
Autor:
Ruff, Maximilian, Schnaubelt, Roland
We study time integration schemes for $\dot H^1$-solutions to the energy-(sub)critical semilinear wave equation on $\mathbb{R}^3$. We show first-order convergence in $L^2$ for the Lie splitting and convergence order $3/2$ for a corrected Lie splittin
Externí odkaz:
http://arxiv.org/abs/2311.03245