Kavli Affiliate: Emil J. Martinec | First 5 Authors: Emil J. Martinec, Yoav Zigdon, , , | Summary: We study ensembles of 1/2-BPS bound states of fundamental strings and NS-fivebranes (NS5-F1 states) in the AdS decoupling limit. We revisit a solution corresponding to an ensemble average of these bound states, and find that the appropriate […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Linghao Huang, Jing Wang, , | Summary: We investigate the Josephson diode effect in topological Josephson junctions. We find that while a Josephson junction in the topological phase may exhibit higher diode efficiency compared to that in the trivial phase, this behavior is not universal. […]
Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wanqiu He, Masayuki Akiyama, Motohiro Enoki, Kohei Ichikawa, Kohei Inayoshi | Summary: We investigate the black hole mass function (BHMF) and Eddington ratio distribution function (ERDF) of broad-line AGNs at z=4, based on a sample of 52 quasars with i<23.2 at 3.50 < z < 4.25 from […]
Kavli Affiliate: Biao Huang | First 5 Authors: Joseph Hansen-Shearer, Jipeng Yan, Marcelo Lerendegui, Biao Huang, Matthieu Toulemonde | Summary: The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]
Kavli Affiliate: Wei Gao | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. To address this problem, a […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]
Kavli Affiliate: Ke Wang | First 5 Authors: Xunchuan Liu, Tie Liu, Lei Zhu, Guido Garay, Hong-Li Liu | Summary: This paper presents an overview of the QUARKS survey, which stands for `Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures’. The QUARKS survey is observing 139 massive clumps covered by […]
Kavli Affiliate: Jia Liu | First 5 Authors: Zi Yin, Wei Ding, Jia Liu, , | Summary: Large Language Models (LLMs) are central to a multitude of applications but struggle with significant risks, notably in generating harmful content and biases. Drawing an analogy to the human psyche’s conflict between evolutionary survival instincts and societal norm […]
Kavli Affiliate: Ronald Hanson | First 5 Authors: Yanik Herrmann, Julius Fischer, Julia M. Brevoord, Colin Sauerzapf, Leonardo G. C. Wienhoven | Summary: Efficient coupling of optically active qubits to optical cavities is a key challenge for solid-state-based quantum optics experiments and future quantum technologies. Here we present a quantum photonic interface based on a […]