Evolution of star clusters with initial bulk rotation via N-body simulations

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Abylay Bissekenov, Xiaoying Pang, Albrecht Kamlah, M. B. N. Kouwenhoven, Rainer Spurzem | Summary: Young star clusters can inherit bulk rotation from the molecular clouds from which they have formed. This rotation can affect the long-term evolution of a star cluster and its constituent stellar populations. In […]


Continue.. Evolution of star clusters with initial bulk rotation via N-body simulations

Evolution of star clusters with initial bulk rotation via N-body simulations

Kavli Affiliate: Rainer Spurzem | First 5 Authors: , , , , | Summary: Young star clusters can inherit bulk rotation from the molecular clouds from which they have formed. This rotation can affect the long-term evolution of a star cluster and its constituent stellar populations. In this study, we aim to characterize the effects […]


Continue.. Evolution of star clusters with initial bulk rotation via N-body simulations

Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Kavli Affiliate: Yasunori Nomura | First 5 Authors: Yasunori Nomura, Tomonori Ugajin, , , | Summary: We study how meaningful physical predictions can arise in nonperturbative quantum gravity in a closed Lorentzian universe. In such settings, recent developments suggest that the quantum gravitational Hilbert space is one-dimensional and real for each $alpha$-sector, as induced by […]


Continue.. Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Kavli Affiliate: Yasunori Nomura | First 5 Authors: Yasunori Nomura, Tomonori Ugajin, , , | Summary: We study how meaningful physical predictions can arise in nonperturbative quantum gravity in a closed Lorentzian universe. In such settings, recent developments suggest that the quantum gravitational Hilbert space is one-dimensional and real for each $alpha$-sector, as induced by […]


Continue.. Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Hybrid RIS-Enhanced ISAC Secure Systems: Joint Optimization in the Presence of an Extended Target

Kavli Affiliate: Long Zhang | First 5 Authors: Yu Yao, Junhao Zhang, Pu Miao, Long Zhang, Gaojie Chen | Summary: Unlike the conventional fully-passive and fully-active reconfigurable intelligent surfaces (RISs), a hybrid RIS consisting of active and passive reflection units has recently been concerned, which can exploit their integrated advantages to alleviate the RIS-induced path […]


Continue.. Hybrid RIS-Enhanced ISAC Secure Systems: Joint Optimization in the Presence of an Extended Target

Disentangling hierarchical relaxations in glass formers via dynamic eigenmodes

Kavli Affiliate: Yi Zhou | First 5 Authors: Wensi Sun, Yanshuang Chen, Wencheng Ji, Yi Zhou, Hua Tong | Summary: Hierarchical dynamics in glass-forming systems span multiple timescales, from fast vibrations to slow structural rearrangements, appearing in both supercooled fluids and glassy states. Understanding how these diverse processes interact across timescales remains a central challenge. […]


Continue.. Disentangling hierarchical relaxations in glass formers via dynamic eigenmodes

DocMMIR: A Framework for Document Multi-modal Information Retrieval

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]


Continue.. DocMMIR: A Framework for Document Multi-modal Information Retrieval

DocMMIR: A Framework for Document Multi-modal Information Retrieval

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]


Continue.. DocMMIR: A Framework for Document Multi-modal Information Retrieval

Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang | Summary: Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very […]


Continue.. Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs

An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yihao Zhang, Sai Li, Albert Lee, Zheng Zhu, Lang Zeng | Summary: Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally intensive combinatorial optimization problems (COPs). While quantum, optical, and electronic devices have garnered significant […]


Continue.. An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory