A primordial atmospheric origin of hydrospheric deuterium enrichment on Mars
Kavli Affiliate: Laura Schaefer | First 5 Authors: Kaveh Pahlevan, Laura Schaefer, Linda T. Elkins-Tanton, Steven J. Desch, Peter R. Buseck | Summary: The deuterium-to-hydrogen (D/H or 2H/1H) ratio of Martian atmospheric water (~6x standard mean ocean water, SMOW) is higher than that of known sources, requiring planetary enrichment. A recent measurement by NASA’s Mars […]
Continue.. A primordial atmospheric origin of hydrospheric deuterium enrichment on Mars
Development of the Low Frequency Telescope Focal Plane Detector Modules for LiteBIRD
Kavli Affiliate: Keith L. Thompson | First 5 Authors: Benjamin Westbrook, Christopher Raum, Shawn Beckman, Adrian T. Lee, Nicole Farias | Summary: LiteBIRD is a JAXA-led strategic large-class satellite mission designed to measure the polarization of the cosmic microwave background and Galactic foregrounds from 34 to 448 GHz across the entire sky from L2 in […]
Continue.. Development of the Low Frequency Telescope Focal Plane Detector Modules for LiteBIRD
Report of the Topical Group on Particle Dark Matter for Snowmass 2021
Kavli Affiliate: Daniel S. Akerib | First 5 Authors: Jodi Cooley, Tongyan Lin, W. Hugh Lippincott, Tracy R. Slatyer, Tien-Tien Yu | Summary: This report summarizes the findings of the CF1 Topical Subgroup to Snowmass 2021, which was focused on particle dark matter. One of the most important scientific goals of the next decade is […]
Continue.. Report of the Topical Group on Particle Dark Matter for Snowmass 2021
Report of the Topical Group on Particle Dark Matter for Snowmass 2021
Kavli Affiliate: Daniel S. Akerib | First 5 Authors: Jodi Cooley, Tongyan Lin, W. Hugh Lippincott, Tracy R. Slatyer, Tien-Tien Yu | Summary: This report summarizes the findings of the CF1 Topical Subgroup to Snowmass 2021, which was focused on particle dark matter. One of the most important scientific goals of the next decade is […]
Continue.. Report of the Topical Group on Particle Dark Matter for Snowmass 2021
Structure and dynamics of motor-driven microtubule bundles
Kavli Affiliate: Daniel J. Needleman | First 5 Authors: Bezia Lemma, Linnea Lemma, Stephanie C. Ems-McClung, Claire E. Walczak, Zvonimir Dogic | Summary: Connecting the large-scale emergent behaviors of active materials to the microscopic properties of their constituents is a challenge due to a lack of data on the multiscale dynamics and structure of such […]
Continue.. Structure and dynamics of motor-driven microtubule bundles
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]
Continue.. DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Platform-agnostic waveguide integration of high-speed photodetectors with evaporated tellurium thin films
Kavli Affiliate: Ali Javey | First 5 Authors: Geun Ho Ahn, Alexander D. White, Hyungjin Kim, Naoki Higashitarumizu, Felix M. Mayor | Summary: Many attractive photonics platforms still lack integrated photodetectors due to inherent material incompatibilities and lack of process scalability, preventing their widespread deployment. Here we address the problem of scalably integrating photodetectors in […]
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Finite-Time Error Bounds for Greedy-GQ
Kavli Affiliate: Yi Zhou | First 5 Authors: Yue Wang, Yi Zhou, Shaofeng Zou, , | Summary: Greedy-GQ with linear function approximation, originally proposed in cite{maei2010toward}, is a value-based off-policy algorithm for optimal control in reinforcement learning, and it has a non-linear two timescale structure with the non-convex objective function. This paper develops its tightest […]
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DeUEDroid: Detecting Underground Economy Apps Based on UTG Similarity
Kavli Affiliate: Ke Wang | First 5 Authors: Zhuo Chen, Jie Liu, Yubo Hu, Lei Wu, Yajin Zhou | Summary: In recent years, the underground economy is proliferating in the mobile system. These underground economy apps (UEware) make profits from providing non-compliant services, especially in sensitive areas such as gambling, pornography, and loans. Unlike traditional […]
Continue.. DeUEDroid: Detecting Underground Economy Apps Based on UTG Similarity