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

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

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

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 […]


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

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

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

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 […]


Continue.. A generating operator for Rankin-Cohen brackets

A generating operator for Rankin-Cohen brackets

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 […]


Continue.. A generating operator for Rankin-Cohen brackets

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

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

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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DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data