Theoretical Prediction of Non-Hermitian Skin Effect in Ultracold Atom Systems

Kavli Affiliate: Fuchun Zhang | First 5 Authors: Sibo Guo, Chenxiao Dong, Fuchun Zhang, Jiangping Hu, Zhesen Yang | Summary: Non-Hermitian skin effect, which refers to the phenomenon that an extensive number of eigenstates are localized at the boundary, has been widely studied in lattice models and experimentally observed in several classical systems. In this […]


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Tunable vortex Majorana modes controlled by strain in homogeneous LiFeAs

Kavli Affiliate: Fuchun Zhang | First 5 Authors: Wenyao Liu, Quanxin Hu, Xiancheng Wang, Yigui Zhong, Fazhi Yang | Summary: The iron-based superconductors (FeSCs) have recently emerged as a promising single-material Majorana platform by hosting isolated Majorana zero modes (MZMs) at relatively high temperatures. To further verify its Majorana nature and move forward to build […]


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Solving information loss paradox via Euclidean path integral

Kavli Affiliate: Misao Sasaki | First 5 Authors: Pisin Chen, Misao Sasaki, Dong-han Yeom, Junggi Yoon, | Summary: The information loss paradox associated with black hole Hawking evaporation is an unresolved problem in modern theoretical physics. In this paper, we revisit the entanglement entropy via the Euclidean path integral (EPI) of the quantum state and […]


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An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation

Kavli Affiliate: Yawen Sun | First 5 Authors: Qing Wu, Yuwei Li, Yawen Sun, Yan Zhou, Hongjiang Wei | Summary: High Resolution (HR) medical images provide rich anatomical structure details to facilitate early and accurate diagnosis. In MRI, restricted by hardware capacity, scan time, and patient cooperation ability, isotropic 3D HR image acquisition typically requests […]


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Calibration and Performance of the REgolith X-Ray Imaging Spectrometer (REXIS) Aboard NASA’s OSIRIS-REx Mission to Bennu

Kavli Affiliate: Rebecca Masterson | First 5 Authors: Jaesub Hong, Richard P. Binzel, Branden Allen, David Guevel, Jonathan Grindlay | Summary: The REgolith X-ray Imaging Spectrometer (REXIS) instrument on board NASA’s OSIRIS-REx mission to the asteroid Bennu is a Class-D student collaboration experiment designed to detect fluoresced X-rays from the asteroid’s surface to measure elemental […]


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A Malmquist-like bias in the inferred areas of diamond caustics and consequences for inferred time delays of gravitationally lensed quasars

Kavli Affiliate: Paul L. Schechter | First 5 Authors: Derek Baldwin, Paul L. Schechter, , , | Summary: Quasars are quadruply lensed only when they lie within the diamond caustic of a lensing galaxy. This precondition produces a Malmquist-like selection effect in observed populations of quadruply lensed quasars, overestimating the true caustic area. The bias […]


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In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

Kavli Affiliate: Jin Suntivich | First 5 Authors: Oleg Yu. Gorobtsov, Yumeng Song, Kevin Fritz, Daniel Weinstock, Yifei Sun | Summary: Nanostructured proton-conducting ceramics (PCCs) have attracted considerable interest as moderate-temperature proton conductors. Structure dynamics during proton conduction, particularly at grain boundaries, are crucial for stability and proton transport in nanostructured PCCs. A common assumption […]


Continue.. In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

Kavli Affiliate: Jin Suntivich | First 5 Authors: Oleg Yu. Gorobtsov, Yumeng Song, Kevin Fritz, Daniel Weinstock, Yifei Sun | Summary: Nanostructured proton-conducting ceramics (PCCs) have attracted considerable interest as moderate-temperature proton conductors. Structure dynamics during proton conduction, particularly at grain boundaries, are crucial for stability and proton transport in nanostructured PCCs. A common assumption […]


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Assisted Learning for Organizations with Limited Imbalanced Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: In the era of big data, many big organizations are integrating machine learning into their work pipelines to facilitate data analysis. However, the performance of their trained models is often restricted by limited and imbalanced data available […]


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