Direct measurement of terahertz conductivity in a gated monolayer semiconductor

Posted by dbos Berkeley

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

Posted by dbos Caltech

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 […]


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

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

Posted by dbos Peking

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

Posted by dbos Peking

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

Posted by dbos Peking

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

Posted by dbos Tokyo

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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Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems

Posted by Peking

Kavli Affiliate: Ruobing Dong | First 5 Authors: Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang | Summary: We introduce Disk2Planet, a machine learning-based tool to infer key parameters in disk-planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the disk structures in the form of two-dimensional density and velocity […]


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Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification

Posted by dbos Tokyo

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 […]


Continue.. Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification

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

Posted by dbos Peking

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 […]


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