High Curie temperature and high hole mobility in diluted magnetic semiconductors (B, Mn)X (X = N, P, As, Sb)

Kavli Affiliate: Gang Su | First 5 Authors: Xiang Li, Jia-Wen Li, Jing-Yang You, Gang Su, Bo Gu | Summary: Doping nonmagnetic semiconductors with magnetic impurities is a feasible way to obtain diluted magnetic semiconductors (DMSs). It is generally accepted that for the most extensively studied DMS, (Ga, Mn)As, its highest Curie temperature T$_{text{C}}$ was […]


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Tensor networks for interpretable and efficient quantum-inspired machine learning

Kavli Affiliate: Gang Su | First 5 Authors: Shi-Ju Ran, Gang Su, , , | Summary: It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages […]


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On the nature of screening in charge regulated macroion solutions

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Sunita Kumari, Rudolf Podgornik, , , | Summary: We present a derivation of the screening length for a solution containing a charge regulated macroion, e.g. protein, with its counterions. We show that it can be obtained directly from the second derivatives of the total free energy by […]


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The Asteroseismological Richness of RCB and dLHdC Stars

Kavli Affiliate: Lars Bildsten | First 5 Authors: Tin Long Sunny Wong, Lars Bildsten, , , | Summary: RCB stars are $Lapprox10^4,L_{odot}$ solar-mass objects that can exhibit large periods of extinction from dust ejection episodes. Many exhibit semiregular pulsations in the range of $30-50$ days with semi-amplitudes of $0.05-0.3$ magnitude. Space-based photometry has discovered that […]


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Realistic Runtime Analysis for Quantum Simplex Computation

Kavli Affiliate: David Gross | First 5 Authors: Sabrina Ammann, Maximilian Hess, Debora Ramacciotti, Sándor P. Fekete, Paulina L. A. Goedicke | Summary: In recent years, strong expectations have been raised for the possible power of quantum computing for solving difficult optimization problems, based on theoretical, asymptotic worst-case bounds. Can we expect this to have […]


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Causality-Informed Data-Driven Predictive Control

Kavli Affiliate: Biao Huang | First 5 Authors: Malika Sader, Yibo Wang, Dexian Huang, Chao Shang, Biao Huang | Summary: As a useful and efficient alternative to generic model-based control scheme, data-driven predictive control is subject to bias-variance trade-off and is known to not perform desirably in face of uncertainty. Through the connection between direct […]


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Causality-Informed Data-Driven Predictive Control

Kavli Affiliate: Biao Huang | First 5 Authors: Malika Sader, Yibo Wang, Dexian Huang, Chao Shang, Biao Huang | Summary: As a useful and efficient alternative to generic model-based control scheme, data-driven predictive control is subject to bias-variance trade-off and is known to not perform desirably in face of uncertainty. Through the connection between direct […]


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Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta

Kavli Affiliate: Yi Zhou | First 5 Authors: Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang | Summary: Effective user representations are pivotal in personalized advertising. However, stringent constraints on training throughput, serving latency, and memory, often limit the complexity and input feature set of online ads ranking models. This challenge is magnified […]


Continue.. Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta

Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta

Kavli Affiliate: Yi Zhou | First 5 Authors: Wei Zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang | Summary: Effective user representations are pivotal in personalized advertising. However, stringent constraints on training throughput, serving latency, and memory, often limit the complexity and input feature set of online ads ranking models. This challenge is magnified […]


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Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study

Kavli Affiliate: Biao Huang | First 5 Authors: Joseph Hansen-Shearer, Jipeng Yan, Marcelo Lerendegui, Biao Huang, Matthieu Toulemonde | Summary: The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the […]


Continue.. Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study