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 […]


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

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 […]


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

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 […]


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

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 […]


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

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 […]


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

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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Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Andrea Rodriguez-Blanco, Ho Nam Nguyen, K. Birgitta Whaley, , | Summary: Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is essential […]


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Towards Calibrating Financial Market Simulators with High-frequency Data

Kavli Affiliate: Feng Wang | First 5 Authors: Peng Yang, Junji Ren, Feng Wang, Ke Tang, | Summary: The fidelity of financial market simulation is restricted by the so-called "non-identifiability" difficulty when calibrating high-frequency data. This paper first analyzes the inherent loss of data information in this difficulty, and proposes to use the Kolmogorov-Smirnov test […]


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A dual-scale stochastic analysis framework for creep failure considering microstructural randomness

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weichen Kong, Yanwei Dai, Xiang Zhang, Yinghua Liu, | Summary: Creep failure under high temperatures is a complex multiscale and multi-mechanism issue involving inherent microstructural randomness. To investigate the effect of microstructures on the uniaxial/multiaxial creep failure, a dual-scale stochastic analysis framework is established to introduce the […]


Continue.. A dual-scale stochastic analysis framework for creep failure considering microstructural randomness