Probing ultrafast magnetization dynamics via synthetic axion fields

Kavli Affiliate: Frank Wilczek | First 5 Authors: Leon Shaposhnikov, Eduardo Barredo-Alamilla, Frank Wilczek, Maxim A. Gorlach, | Summary: Spatial structuring of materials at subwavelength scales underlies the concept of metamaterials possessing exotic properties beyond those of the constituent media. Temporal modulation of material parameters enables further functionalities. Here, we show that high-frequency oscillations of […]


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Predicting Many Properties of Crystals by a Single Deep Learning Model

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Dongheng Qian, Jing Wang, , | Summary: The use of machine learning methods for predicting the properties of crystalline materials encounters significant challenges, primarily related to input encoding, output versatility, and interpretability. Here, we introduce CrystalBERT, an adaptable transformer-based framework with novel structure that integrates […]


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Measurement of the energy dependence of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at Belle~II

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We report measurements of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at four energies, 10653, 10701, 10746 and 10805 MeV, using data collected by the Belle~II experiment. We reconstruct one $B$ meson […]


Continue.. Measurement of the energy dependence of the $e^+e^- to Bbar{B}$, $Bbar{B}{}^*$, and $B^*bar{B}{}^*$ cross sections at Belle~II

Influence of mid-infrared Galactic bubble on surroundings: A case study on IRAS 16489-4431

Kavli Affiliate: Ke Wang | First 5 Authors: Ariful Hoque, Tapas Baug, Lokesh Dewangan, Ke Wang, Tie Liu | Summary: We studied the influence of a massive star on a mid-infrared bubble and its surrounding gas in the IRAS,16489-4431 star-forming region using multi-wavelength data. The {it Spitzer} mid-infrared band images revealed the shocked nature of […]


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GWnext 2024: Meeting Summary

Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]


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GWnext 2024: Meeting Summary

Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]


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Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


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Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


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Survival of the Fittest Representation: A Case Study with Modular Addition

Kavli Affiliate: Max Tegmark | First 5 Authors: Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark | Summary: When a neural network can learn multiple distinct algorithms to solve a task, how does it "choose" between them during training? To approach this question, we take inspiration from ecology: when multiple […]


Continue.. Survival of the Fittest Representation: A Case Study with Modular Addition