Prospects for detecting neutron star-white dwarf mergers with decihertz gravitational-wave observatories

Posted by dbos Peking

Kavli Affiliate: Lijing Shao | First 5 Authors: Yacheng Kang, Chang Liu, Jin-Ping Zhu, Yong Gao, Lijing Shao | Summary: Based on different neutron star-white dwarf (NS-WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS-WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. […]


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nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang | Summary: Automatic segmentation of medical images is crucial in modern clinical workflows. The Segment Anything Model (SAM) has emerged as a versatile tool for image segmentation without specific domain training, but it requires human prompts and […]


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Constraining Ultralight Dark Matter through an Accelerated Resonant Search

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Zitong Xu, Xiaolin Ma, Kai Wei, Yuxuan He, Xing Heng | Summary: Experiments aimed at detecting ultralight dark matter typically rely on resonant effects, which are sensitive to the dark matter mass that matches the resonance frequency. In this study, we investigate the nucleon couplings of ultralight […]


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Text-to-3D using Gaussian Splatting

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Zilong Chen, Feng Wang, Yikai Wang, Huaping Liu, | Summary: Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the optimization of volume rendering has achieved remarkable progress in synthesizing realistic 3D objects. Yet most existing text-to-3D methods by SDS and volume rendering suffer from inaccurate […]


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Epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN distributed Bragg reflectors

Posted by dbos Cornell

Kavli Affiliate: Grace Xing | First 5 Authors: Len van Deurzen, Thai-Son Nguyen, Joseph Casamento, Huili Grace Xing, Debdeep Jena | Summary: We demonstrate epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN ten and twenty period distributed Bragg reflectors (DBRs) grown on c-plane bulk n-type GaN substrates by plasma-enhanced molecular beam epitaxy (PA-MBE). Resulting from a rapid increase of in-plane […]


Continue.. Epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN distributed Bragg reflectors

Epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN distributed Bragg reflectors

Posted by dbos Cornell

Kavli Affiliate: Grace Xing | First 5 Authors: Len van Deurzen, Thai-Son Nguyen, Joseph Casamento, Huili Grace Xing, Debdeep Jena | Summary: We demonstrate epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN ten and twenty period distributed Bragg reflectors (DBRs) grown on c-plane bulk n-type GaN substrates by plasma-enhanced molecular beam epitaxy (PA-MBE). Resulting from a rapid increase of in-plane […]


Continue.. Epitaxial lattice-matched Al$_{0.89}$Sc$_{0.11}$N/GaN distributed Bragg reflectors

Simulating ionization feedback from young massive stars: impact of numerical resolution

Posted by dbos MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]


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Kitaev chain in an alternating quantum dot-Andreev bound state array

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


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Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


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