Direct measurement of terahertz conductivity in a gated monolayer semiconductor

Kavli Affiliate: Feng Wang | First 5 Authors: Su-Di Chen, Qixin Feng, Wenyu Zhao, Ruishi Qi, Zuocheng Zhang | Summary: Two-dimensional semiconductors and their moir’e superlattices have emerged as important platforms for investigating correlated electrons. However, many key properties of these systems, such as the frequency-dependent conductivity, remain experimentally inaccessible because of the mesoscopic sample […]


Continue.. Direct measurement of terahertz conductivity in a gated monolayer semiconductor

Preserving phase coherence and linearity in cat qubits with exponential bit-flip suppression

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Kyungjoo Noh, Rishi N. Patel, Gregory A. Peairs, Gregory S. MacCabe | Summary: Cat qubits, a type of bosonic qubit encoded in a harmonic oscillator, can exhibit an exponential noise bias against bit-flip errors with increasing mean photon number. Here, we focus on cat qubits […]


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The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, , , | Summary: The bimodality in the stellar spin of low redshift (massive) galaxies, ubiquitously existing at all star formation levels and in diverse environment, suggests that galaxies grow and quench through two diverged evolutionary pathways. For spheroid-dominated galaxies of slow stellar […]


Continue.. The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, , , | Summary: The bimodality in the stellar spin of low redshift (massive) galaxies, ubiquitously existing at all star formation levels and in diverse environment, suggests that galaxies grow and quench through two diverged evolutionary pathways. For spheroid-dominated galaxies of slow stellar […]


Continue.. The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

Universal bimodality in kinematic morphology and the divergent pathways to galaxy quenching

Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, Michele Cappellari, , | Summary: The hierarchical structure formation of our Universe inherently involves violent and chaotic episodes of mass assembly such as galaxy mergers. The level of bulk rotation of the collisionless stellar systems of galaxies reflects to what extent the galaxies, […]


Continue.. Universal bimodality in kinematic morphology and the divergent pathways to galaxy quenching

Long-lived Sterile Neutrino Searches at Future Muon Colliders

Kavli Affiliate: Jia Liu | First 5 Authors: Qi Bi, Jinhui Guo, Jia Liu, Yan Luo, Xiao-Ping Wang | Summary: We explore the potential of studying sterile neutrinos at a future high-energy muon collider, where these particles can generate small active neutrino masses via the seesaw mechanism and exhibit long-lived particle signatures. A Dirac sterile […]


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Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification

Kavli Affiliate: Jia Liu | First 5 Authors: Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing Chen, Ao Chang | Summary: In the medical field, the limited availability of large-scale datasets and labor-intensive annotation processes hinder the performance of deep models. Diffusion-based generative augmentation approaches present a promising solution to this issue, having been proven effective […]


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Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma | Summary: In this paper, we utilize information-theoretic metrics like matrix entropy and mutual information to analyze supervised learning. We explore the information content of data representations and classification head weights and their information interplay during supervised […]


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Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations

Kavli Affiliate: Michael Keiser | Authors: Sina Ghandian, Liane Albarghouthi, Kiana Nava, Shivam R. Rai Sharma, Lise Minaud, Laurel Beckett, Naomi Saito, Charles DeCarli, Robert A. Rissman, Andrew F. Teich, Lee-Way Jin, Brittany N. Dugger and Michael J. Keiser | Summary: Accumulation of abnormal tau protein into neurofibrillary tangles (NFTs) is a pathologic hallmark of […]


Continue.. Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations