Zobrazeno 1 - 10
of 33 754
pro vyhledávání: '"Healey, A"'
Autor:
Healey, Alexander J, Tan, Cheng, Gross, Boris, Scholten, Sam C, Xing, Kaijian, Chica, Daniel G, Johnson, Brett C, Poggio, Martino, Ziebel, Michael E, Roy, Xavier, Tetienne, Jean-Philippe, Broadway, David A
Stacking van der Waals magnets holds promise for creating new hybrid materials with properties that do not exist in bulk materials. Here we investigate orthogonally twisted stacks of the van der Waals antiferromagnet CrSBr, aiming to exploit an extre
Externí odkaz:
http://arxiv.org/abs/2410.19209
Autor:
Chen, Jian, Zhang, Ruiyi, Zhou, Yufan, Healey, Jennifer, Gu, Jiuxiang, Xu, Zhiqiang, Chen, Changyou
Automatic generation of graphical layouts is crucial for many real-world applications, including designing posters, flyers, advertisements, and graphical user interfaces. Given the incredible ability of Large language models (LLMs) in both natural la
Externí odkaz:
http://arxiv.org/abs/2410.12844
Autor:
Singh, Priya, Robertson, Islay O., Scholten, Sam C., Healey, Alexander J., Abe, Hiroshi, Ohshima, Takeshi, Tan, Hark Hoe, Kianinia, Mehran, Aharonovich, Igor, Broadway, David A., Reineck, Philipp, Tetienne, Jean-Philippe
Optically addressable solid-state spins are an important platform for practical quantum technologies. Van der Waals material hexagonal boron nitride (hBN) is a promising host as it contains a wide variety of optical emitters, but thus far observation
Externí odkaz:
http://arxiv.org/abs/2409.20186
Towards high spatial resolution magnetic imaging with a compact practical quantum diamond microscope
Autor:
Rietwyk, Kevin J., Shaji, Alex, Robertson, Islay O., Healey, Alexander J., Singh, Priya, Scholten, Sam C., Reineck, Philipp, Broadway, David, Tetienne, Jean-Philippe
Widefield quantum diamond microscopy is a powerful technique for imaging magnetic fields with high sensitivity and spatial resolution. However, current methods to approach the ultimate spatial resolution ($<500\,$nm) are impractical for routine use a
Externí odkaz:
http://arxiv.org/abs/2407.15319
Autor:
Robertson, Islay O., Whitefield, Benjamin, Scholten, Sam C., Singh, Priya, Healey, Alexander J., Reineck, Philipp, Kianinia, Mehran, Broadway, David A., Aharonovich, Igor, Tetienne, Jean-Philippe
Optically detected magnetic resonance (ODMR) has been observed from emitters in hexagonal boron nitride across a broad range of wavelengths, but so far an understanding of their microscopic structure and the physical origin of ODMR has been lacking.
Externí odkaz:
http://arxiv.org/abs/2407.13148
The main motivation of the present work is to investigate the asymptotic behavior as $\kappa \to 0+$ of multiradial Schramm-Loewner evolution, SLE$_\kappa$. We show that this process with the common parameterization satisfies a finite-time large devi
Externí odkaz:
http://arxiv.org/abs/2407.13762
Pre-trained large language models (LLMs) can now be easily adapted for specific business purposes using custom prompts or fine tuning. These customizations are often iteratively re-engineered to improve some aspect of performance, but after each chan
Externí odkaz:
http://arxiv.org/abs/2407.08842
Autor:
Zhong, Zhusi, Li, Jie, Sollee, John, Collins, Scott, Bai, Harrison, Zhang, Paul, Healey, Terrence, Atalay, Michael, Gao, Xinbo, Jiao, Zhicheng
In response to the worldwide COVID-19 pandemic, advanced automated technologies have emerged as valuable tools to aid healthcare professionals in managing an increased workload by improving radiology report generation and prognostic analysis. This st
Externí odkaz:
http://arxiv.org/abs/2405.14113
Autor:
Zhong, Zhusi, Li, Jie, Ma, Zhuoqi, Collins, Scott, Bai, Harrison, Zhang, Paul, Healey, Terrance, Gao, Xinbo, Atalay, Michael K., Jiao, Zhicheng
The COVID-19 pandemic has strained global public health, necessitating accurate diagnosis and intervention to control disease spread and reduce mortality rates. This paper introduces an interpretable deep survival prediction model designed specifical
Externí odkaz:
http://arxiv.org/abs/2405.02815
Recent advancements in instruction-following models have made user interactions with models more user-friendly and efficient, broadening their applicability. In graphic design, non-professional users often struggle to create visually appealing layout
Externí odkaz:
http://arxiv.org/abs/2404.15271