Competing Effects of Local Solvation Structures on Chemical Shift Changes of Liquid Electrolyte

Kavli Affiliate: Feng Wang | First 5 Authors: Qi You, Yan Sun, Feng Wang, Jun Cheng, Fujie Tang | Summary: Understanding the solvation structure of electrolytes is critical for optimizing the electrochemical performance of rechargeable batteries, as it directly influences properties such as ionic conductivity, viscosity, and electrochemical stability. The highly complex structures and strong […]


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The I-Love universal relation for polytropic stars under Newtonian gravity

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: Rui Xu, Alejandro Torres-Orjuela, Lars Andersson, Pau Amaro Seoane, | Summary: The moment of inertia and tidal deformability of idealized stars with polytropic equations of state (EOSs) are numerically calculated under both Newtonian gravity and general relativity (GR). The results explicitly confirm that the relation between […]


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Long-lived Habitable Zones around White Dwarfs undergoing Neon-22 Distillation

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Andrew Vanderburg, Antoine Bédard, Juliette C. Becker, Simon Blouin, | Summary: White dwarf stars have attracted considerable attention in the past 15 years as hosts for potentially habitable planets, but their low luminosity and continuous cooling are major challenges for habitability. Recently, astronomers have found that about […]


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LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Javier Viaña, Kyu-Ha Hwang, Zoë de Beurs, Jennifer C. Yee, Andrew Vanderburg | Summary: Traditional microlensing event vetting methods require highly trained human experts, and the process is both complex and time-consuming. This reliance on manual inspection often leads to inefficiencies and constrains the ability to scale […]


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Quantum networks using rare-earth ions

Kavli Affiliate: Wolfgang Tittel | First 5 Authors: Wolfgang Tittel, Mikael Afzelius, Adam Kinos, Lars Rippe, Andreas Walther | Summary: We review concepts and recent work related to creating light-matter interfaces for future quantum networks based on rare-earth ion-doped crystals. More precisely, we explore their unique suitability for creating photon sources, optical quantum memories for […]


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All-optical computing with beyond 100-GHz clock rates

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Gordon H. Y. Li, Midya Parto, Jinhao Ge, Qing-Xin Ji, Maodong Gao | Summary: A computer’s clock rate ultimately determines the minimum time between sequential operations or instructions. Despite exponential advances in electronic computer performance owing to Moore’s Law and increasingly parallel system architectures, computer clock […]


Continue.. All-optical computing with beyond 100-GHz clock rates

All-optical computing with beyond 100-GHz clock rates

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Gordon H. Y. Li, Midya Parto, Jinhao Ge, Qing-Xin Ji, Maodong Gao | Summary: A computer’s clock rate ultimately determines the minimum time between sequential operations or instructions. Despite exponential advances in electronic computer performance owing to Moore’s Law and increasingly parallel system architectures, computer clock […]


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An Exceptionally Powerful, Radiatively Driven Ultrafast Outflow in the Rapidly Accreting AGN REJ1034+396

Kavli Affiliate: Steven Allen | First 5 Authors: Chloe Taylor, Daniel Wilkins, Steven Allen, , | Summary: We report the analysis of ~1Ms of XMM-Newton observations of the rapidly accreting active galactic nucleus REJ1034+396. The 0.3-9 keV EPIC-pn spectra are well described by a model consisting of steep continuum emission from the corona accompanied by […]


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Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters

Kavli Affiliate: Jia Liu | First 5 Authors: Ziyue Luo, Jia Liu, Myungjin Lee, Ness B. Shroff, | Summary: The recent explosive growth of deep learning (DL) models has necessitated a compelling need for efficient job scheduling for distributed deep learning training with mixed parallelisms (DDLwMP) in GPU clusters. This paper proposes an adaptive shortest-remaining-processing-time-first […]


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Distinct roles of cortical layer 5 subtypes in associative learning

Kavli Affiliate: Rui Costa | Authors: Sara Moberg, Michele Garibbo, Camille Mazo, Ariel Gilad, Dietmar Schmitz, Rui Ponte Costa, Matthew E Larkum and Naoya Takahashi | Summary: Adaptive behavior is critically dependent on associative learning, where environmental cues are linked with subsequent positive or negative outcomes. In mammals, primary neocortical sensory areas serve as pivotal […]


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