Observing Dark Matter Decays to Gravitons via Graviton-Photon Conversion

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: David I. Dunsky, Gordan Krnjaic, Elena Pinetti, , | Summary: Since dark matter is only known to have gravitational interactions, it may plausibly decay to gravitons on cosmological timescales. Although such a scenario can be easily realized, there are currently no known limits on this possibility based […]


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UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach

Kavli Affiliate: Wei Gao | First 5 Authors: Kangli Wang, Wei Gao, , , | Summary: Learning-based point cloud compression methods have made significant progress in terms of performance. However, these methods still encounter challenges including high complexity, limited compression modes, and a lack of support for variable rate, which restrict the practical application of […]


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ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Xiaofeng Wang, Chaojun Ni, Zheng Zhu, Wenkang Qin | Summary: Combining reconstruction models with generative models has emerged as a promising paradigm for closed-loop simulation in autonomous driving. For example, ReconDreamer has demonstrated remarkable success in rendering large-scale maneuvers. However, a significant gap remains between […]


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A Promising Method for Strongly Correlated Electrons in Two Dimensions: Gutzwiller-Guided Density Matrix Renormalization Group

Kavli Affiliate: Yi Zhou | First 5 Authors: Hui-Ke Jin, Rong-Yang Sun, Hong-Hao Tu, Yi Zhou, | Summary: The study of strongly correlated electron systems remains a fundamental challenge in condensed matter physics, particularly in two-dimensional (2D) systems hosting various exotic phases of matter including quantum spin liquids, unconventional superconductivity, and topological orders. Although Density […]


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NMPC-based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery

Kavli Affiliate: Morteza Gharib | First 5 Authors: Adarsh Salagame, Shashwat Pandya, Ioannis Mandralis, Eric Sihite, Alireza Ramezani | Summary: Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot’s destruction. Therefore, rapid fault recovery in the event of an actuator failure is necessary for the […]


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Learning Orientation Field for OSM-Guided Autonomous Navigation

Kavli Affiliate: Wei Gao | First 5 Authors: Yuming Huang, Wei Gao, Zhiyuan Zhang, Maani Ghaffari, Dezhen Song | Summary: OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, existing methods often struggle with noisy OSM data and incomplete sensor observations, leading […]


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Deciphering the Origins of the Elements Through Galactic Archeology

Kavli Affiliate: Anna Frebel | First 5 Authors: Khalil Farouqi, Anna Frebel, Friedrich-Karl Thielemann, , | Summary: Low-metallicity stars preserve the signatures of the first stellar nucleosynthesis events in the Galaxy, as their surface abundances reflect the composition of the interstellar medium from which they were born. Aside from primordial Big Bang nucleosynthesis, massive stars, […]


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Accessible, realistic genome simulation with selection using stdpopsim

Kavli Affiliate: Scott Small | Authors: Graham Gower, Nathaniel S. Pope, Murillo F. Rodrigues, Silas Tittes, Linh N. Tran, Ornob Alam, Maria Izabel Alves Cavassim, Peter D. Fields, Benjamin C. Haller, Xin Huang, Ben Jeffrey, Kevin Korfmann, Christopher C. Kyriazis, Jiseon Min, Ines Rebollo, Clara T Rehmann, Scott T. Small, Christopher C. R. Smith, Georgia […]


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CellBouncer, A Unified Toolkit for Single-Cell Demultiplexing and Ambient RNA Analysis, Reveals Hominid Mitochondrial Incompatibilities

Kavli Affiliate: Alex Pollen | Authors: Nathan K Schaefer, Bryan J Pavlovic and Alex Aaron Pollen | Summary: Pooled processing, in which cells from multiple sources are cultured or captured together, is an increasingly popular strategy for droplet-based single cell sequencing studies. This design allows efficient scaling of experiments, isolation of cell-intrinsic differences, and mitigation […]


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Predicting performance-related properties of refrigerant based on tailored small-molecule functional group contribution

Kavli Affiliate: Xiang Zhang | First 5 Authors: Peilin Cao, Ying Geng, Nan Feng, Xiang Zhang, Zhiwen Qi | Summary: As current group contribution (GC) methods are mostly proposed for a wide size-range of molecules, applying them to property prediction of small refrigerant molecules could lead to unacceptable errors. In this sense, for the design […]


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