Planet as a Brain: Towards Internet of AgentSites based on AIOS Server

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yongfeng Zhang, , , | Summary: The internet is undergoing a historical transformation from the "Internet of Websites" to the "Internet of AgentSites." While traditional Websites served as the foundation for information hosting and dissemination, a new frontier is emerging where AgentSites serve as the […]


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System of Agentic AI for the Discovery of Metal-Organic Frameworks

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Theo Jaffrelot Inizan, Sherry Yang, Aaron Kaplan, Yen-hsu Lin, Jian Yin | Summary: Generative models and machine learning promise accelerated material discovery in MOFs for CO2 capture and water harvesting but face significant challenges navigating vast chemical spaces while ensuring synthetizability. Here, we present MOFGen, a […]


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Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Sijia Ke, Stephen E. Gant, Leeor Kronik, Jeffrey B. Neaton, | Summary: We use density functional theory (DFT) with non-empirically tuned screened range-separated hybrid (SRSH) functionals to calculate the electronic properties of native zinc and oxygen vacancy point defects in ZnO, and we predict their defect […]


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Towards High-Voltage Cathodes for Zinc-Ion Batteries: Discovery Pipeline and Material Design Rules

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Roberta Pascazio, Qian Chen, Haoming Howard Li, Aaron D. Kaplan, Kristin A. Persson | Summary: Efficient energy storage systems are crucial to address the intermittency of renewable energy sources. As multivalent batteries, Zn-ion batteries (ZIBs), while inherently low voltage, offer a promising low cost alternative to […]


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Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Boyuan Yang, Xiangyu Yin, Wei Gao, | Summary: Personalization of Large Language Models (LLMs) is important in practical applications to accommodate the individual needs of different mobile users. Due to data privacy concerns, LLM personalization often needs to be locally done at the user’s mobile […]


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Measuring Casimir Force Across a Superconducting Transition

Kavli Affiliate: Sander Otte | First 5 Authors: Minxing Xu, Robbie J. G. Elbertse, Ata Keşkekler, Giuseppe Bimonte, Jinwon Lee | Summary: The Casimir effect and superconductivity are foundational quantum phenomena whose interaction remains an open question in physics. How Casimir forces behave across a superconducting transition remains unresolved, owing to the experimental difficulty of […]


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AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis

Kavli Affiliate: Dan Luo | First 5 Authors: Dan Luo, Chengyuan Ma, Weiqin Li, Jun Wang, Wei Chen | Summary: With the advancement of speech synthesis technology, users have higher expectations for the naturalness and expressiveness of synthesized speech. But previous research ignores the importance of prompt selection. This study proposes a text-to-speech (TTS) framework […]


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Gate-tunable electroresistance in a sliding ferroelectric tunnel junction

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Bozo Vareskic, Finn G. Kennedy, Takashi Taniguchi, Kenji Watanabe, Kenji Yasuda | Summary: We fabricate and measure electrically-gated tunnel junctions in which the insulating barrier is a sliding van der Waals ferroelectric made from parallel-stacked bilayer hexagonal boron nitride and the electrodes are single-layer graphene. Despite […]


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Statistics of velocity gradient and vortex sheet structures in polymeric turbulent von K{á}rm{á}n swirling flow

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yi-Bao Zhang, Ping-Fan Yang, Heng-Dong Xi, | Summary: Investigations into the effects of polymers on small-scale statistics and flow patterns were conducted in a turbulent von Karman swirling (VKS) flow. We employed the tomographic particle image velocimetry (Tomo-PIV) technique to obtain full information on three-dimensional […]


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Cross-functional transferability in universal machine learning interatomic potentials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Xu Huang, Bowen Deng, Peichen Zhong, Aaron D. Kaplan, Kristin A. Persson | Summary: The rapid development of universal machine learning interatomic potentials (uMLIPs) has demonstrated the possibility for generalizable learning of the universal potential energy surface. In principle, the accuracy of uMLIPs can be further […]


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