Superconducting, topological and transport properties of kagome metals CsTi$ _{3} $Bi$ _{5} $ and RbTi$ _{3} $Bi$ _{5} $

Posted by dbos UCAS

Kavli Affiliate: Bo Gu | First 5 Authors: Xin-Wei Yi, Zheng-Wei Liao, Jing-Yang You, Bo Gu, Gang Su | Summary: The recently discovered ATi$_3$Bi$_5$ (A=Cs, Rb) exhibit intriguing quantum phenomena including superconductivity, electronic nematicity, and abundant topological states, which provide promising platforms for studying kagome superconductivity, band topology, and charge orders. In this work, we […]


Continue.. Superconducting, topological and transport properties of kagome metals CsTi$ _{3} $Bi$ _{5} $ and RbTi$ _{3} $Bi$ _{5} $

Interferometric speckle visibility spectroscopy (iSVS) for measuring decorrelation time and dynamics of moving samples with enhanced signal-to-noise ratio and relaxed reference requirements

Posted by dbos Caltech

Kavli Affiliate: Changhuei Yang | First 5 Authors: Yu Xi Huang, Simon Mahler, Jerome Mertz, Changhuei Yang, | Summary: Diffusing wave spectroscopy (DWS) is a group of techniques used to measure the dynamics of a scattering medium in a non-invasive manner. DWS methods rely on detecting the speckle light field from the moving scattering media […]


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Optical Dipole Structure and Orientation of GaN Defect Single-Photon Emitters

Posted by dbos Cornell

Kavli Affiliate: Warren R. Zipfel | First 5 Authors: Yifei Geng, Debdeep Jena, Gregory D. Fuchs, Warren R. Zipfel, Farhan Rana | Summary: GaN has recently been shown to host bright, photostable, defect single photon emitters in the 600-700 nm wavelength range that are promising for quantum applications. The nature and origin of these defect […]


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Optimality in superselective surface binding by multivalent DNA nanostars

Posted by dbos Delft

Kavli Affiliate: Liedewij Laan | First 5 Authors: Christine Linne, Eva Heemskerk, Jos Zwanikken, Daniela J. Kraft, Liedewij Laan | Summary: Weak multivalent interactions govern a large variety of biological processes like cell-cell adhesion and virus-host interactions. These systems distinguish sharply between surfaces based on receptor density, known as superselectivity. Earlier experimental and theoretical work […]


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SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Posted by dbos Peking

Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. While many solutions have been proposed to mitigate these leakages, they either (1) incur substantial overheads, (2) focus […]


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SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Posted by dbos Peking

Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. Most existing systems that conceal leakage either (1) incur substantial overheads, (2) focus on specific subsets of leakage […]


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A generating operator for Rankin-Cohen brackets

Posted by dbos Tokyo

Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the classical ideas of generating functions for orthogonal polynomials, we initiate a new line of investigation on "generating operators" for a family of differential operators between two manifolds. We prove a novel formula of the generating operators […]


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A generating operator for Rankin-Cohen brackets

Posted by dbos Tokyo

Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the classical ideas of generating functions for orthogonal polynomials, we initiate a new line of investigation on "generating operators" for a family of differential operators between two manifolds. We prove a novel formula of the generating operators […]


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GPT-assisted learning of structure-property relationships by graph neural networks: Application to rare-earth doped phosphors

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zichun Zhou, Chen Ming, Yi-Yang Sun, | Summary: Applications of machine learning techniques in materials science are often based on two key ingredients, a set of empirical descriptors and a database of a particular material property of interest. The advent of graph neural networks, such […]


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Discovering two-dimensional magnetic topological insulators by machine learning

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]


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