Universal scaling solution for a rigidity transition: renormalization group flows near the upper critical dimension

Posted by dbos Cornell

Kavli Affiliate: Itai Cohen | First 5 Authors: Stephen J. Thornton, Danilo B. Liarte, Itai Cohen, James P. Sethna, | Summary: Rigidity transitions induced by the formation of system-spanning disordered rigid clusters, like the jamming transition, can be well-described in most physically relevant dimensions by mean-field theories. A dynamical mean-field theory commonly used to study […]


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Correlated Topological Mixed-Valence Insulators in Moiré Hetero-Bilayers

Posted by Cornell

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Juan Felipe Mendez-Valderrama, Sunghoon Kim, Debanjan Chowdhury, , | Summary: Moir’e transition metal dichalcogenide (TMD) materials provide an ideal playground for studying the combined interplay of strong interactions and band-topology over a range of electronic fillings. Here we investigate the panoply of interaction-induced electronic phases that arise […]


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All-optical Loss-tolerant Distributed Quantum Sensing

Posted by dbos Caltech

Kavli Affiliate: Alireza Marandi | First 5 Authors: Rajveer Nehra, Changhun Oh, Liang Jiang, Alireza Marandi, | Summary: Distributed quantum sensing (DQS) leverages quantum resources to estimate an unknown global property of a networked quantum sensor beyond the classical limit. We propose and analyze an all-optical resource-efficient scheme for the next-generation DQS systems. Our method […]


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0.7 MW Yb:YAG pumped degenerate optical parametric oscillator at 2.06 μm

Posted by dbos Caltech

Kavli Affiliate: Alireza Marandi | First 5 Authors: Anni Li, Mehran Bahri, Robert M. Gray, Seowon Choi, Sajjad Hoseinkhani | Summary: Frequency comb and field-resolved broadband absorption spectroscopy are promising techniques for rapid, precise, and sensitive detection of short-lived atmospheric pollutants on-site. Enhancing detection sensitivity in absorption spectroscopy hinges on bright sources that cover molecular […]


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Applying Conditional Generative Adversarial Networks for Imaging Diagnosis

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Haowei Yang, Yuxiang Hu, Shuyao He, Ting Xu, Jiajie Yuan | Summary: This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image segmentation, particularly in the challenging environment of medical imaging. We address the problem […]


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Ferroelectric AlBN Films by Molecular Beam Epitaxy

Posted by dbos Cornell

Kavli Affiliate: Farhan Rana | First 5 Authors: Chandrashekhar Savant, Ved Gund, Kazuki Nomoto, Takuya Maeda, Shubham Jadhav | Summary: We report the properties of molecular beam epitaxy deposited AlBN thin films on a recently developed epitaxial nitride metal electrode Nb2N. While a control AlN thin film exhibits standard capacitive behavior, distinct ferroelectric switching is […]


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Spin-filter tunneling detection of antiferromagnetic resonance with electrically-tunable damping

Posted by dbos Cornell

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Thow Min Jerald Cham, Daniel G. Chica, Kenji Watanabe, Takashi Taniguchi, Xavier Roy | Summary: Antiferromagnetic spintronics offers the potential for higher-frequency operations compared to ferromagnetic spintronics and improved insensitivity to magnetic fields. However, previous electrical techniques to detect antiferromagnetic dynamics have required millimeter-scale samples to […]


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Heterogeneous integration of amorphous silicon carbide on thin film lithium niobate

Posted by dbos Delft

Kavli Affiliate: Simon Groblacher | First 5 Authors: Zizheng Li, Naresh Sharma, Bruno Lopez-Rodriguez, Roald van der Kolk, Thomas Scholte | Summary: In the past decade, lithium niobate (LiNbO3 or LN) photonics, thanks to its heat-free and fast electro-optical modulation, second-order non-linearities and low loss, has been extensively investigated. Despite numerous demonstrations of high-performance LN […]


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Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations without explicit supervision. Augmentation is a critical component in contrastive learning, where different […]


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Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Wei Gao, Qi Zhang, Jiajia Liu, Feng Shu | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


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