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 […]


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

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

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Feng Shu, Rongen Dong, Wei Gao, Qi Zhang | 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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Scalable microwave-to-optical transducers at single photon level with spins

Posted by dbos Caltech

Kavli Affiliate: Andrei Faraon | First 5 Authors: Tian Xie, Rikuto Fukumori, Jiahui Li, Andrei Faraon, | Summary: Microwave-to-optical transduction of single photons will play an essential role in interconnecting future superconducting quantum devices, with applications in distributed quantum computing and secure communications. Various transducers that couple microwave and optical modes via an optical drive […]


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AuNR-SMA: Automated Gold Nanorod Spectral Morphology Analysis Pipeline

Posted by dbos Berkeley

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Samuel P. Gleason, Jakob C. Dahl, Mahmoud Elzouka, Xingzhi Wang, Dana O. Byrne | Summary: The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is often due to […]


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Magic silicon dioxide for widely tunable integrated photonics

Posted by dbos Delft

Kavli Affiliate: Simon Groblacher | First 5 Authors: Bruno Lopez-Rodriguez, Naresh Sharma, Zizheng Li, Roald van der Kolk, Jasper van der Boom | Summary: Integrated photonic circuits have transformed data communication, biosensing, and light detection and ranging, and hold wide-ranging potential for optical computing, optical imaging and signal processing. These applications often require tunable and […]


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On the interplay of electronic and lattice screening on exciton binding in two-dimensional lead halide perovskites

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Rohit Rana, David T. Limmer, , , | Summary: We use path integral Monte Carlo to study the energetics of excitons in layered, hybrid organic-inorganic perovskites in order to elucidate the relative contributions of dielectric confinement and electron-phonon coupling. While the dielectric mismatch between polar perovskite […]


Continue.. On the interplay of electronic and lattice screening on exciton binding in two-dimensional lead halide perovskites

On the interplay of electronic and lattice screening on exciton binding in two-dimensional lead halide perovskites

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Rohit Rana, David T. Limmer, , , | Summary: We use path integral Monte Carlo to study the energetics of excitons in layered, hybrid organic-inorganic perovskites in order to elucidate the relative contributions of dielectric confinement and electron-phonon coupling. While the dielectric mismatch between polar perovskite […]


Continue.. On the interplay of electronic and lattice screening on exciton binding in two-dimensional lead halide perovskites