Inverse model for network construction: (δ(G), I’ (G)) -> G

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Yaojun Chen, Hainan Zhang, , | Summary: The isolated toughness variant is a salient parameter for measuring the vulnerability of networks, which is inherently related to fractional factors (used to characterize the feasibility of data transmission). The combination of minimum degree and the corresponding tight […]


Continue.. Inverse model for network construction: (δ(G), I’ (G)) -> G

On the kinematic nature of apparent discs at high redshifts: Local counterparts are not dominated by ordered rotation but by tangentially anisotropic random motion

Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, Michele Cappellari, Hua Gao, Houjun Mo | Summary: It is not straightforward to physically interpret the apparent morphology of galaxies. Recent observations by James Webb Space Telescope (JWST) revealed a dominant galaxy population at high redshifts ($z>2$) that were visually classified as discs […]


Continue.. On the kinematic nature of apparent discs at high redshifts: Local counterparts are not dominated by ordered rotation but by tangentially anisotropic random motion

Concept of a Double Tilted Rowland Spectrograph for X-rays

Kavli Affiliate: Ralf K. Heilmann | First 5 Authors: Hans Moritz Günther, Casey T. DeRoo, Ralf K. Heilmann, Edward Hertz, | Summary: High-resolution spectroscopy in soft X-rays ($<2$ keV) requires diffractive elements to resolve any astrophysically relevant diagnostics, such as closely spaced lines, weak absorption lines, or line profiles. The Rowland torus geometry describes how […]


Continue.. Concept of a Double Tilted Rowland Spectrograph for X-rays

Concept of a Double Tilted Rowland Spectrograph for X-rays

Kavli Affiliate: Ralf K. Heilmann | First 5 Authors: Hans Moritz Günther, Casey T. DeRoo, Ralf K. Heilmann, Edward Hertz, | Summary: High-resolution spectroscopy in soft X-rays ($<2$ keV) requires diffractive elements to resolve any astrophysically relevant diagnostics, such as closely spaced lines, weak absorption lines, or line profiles. The Rowland torus geometry describes how […]


Continue.. Concept of a Double Tilted Rowland Spectrograph for X-rays

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Kavli Affiliate: Avi Shporer | First 5 Authors: Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks | Summary: Automatic reviewing helps handle a large volume of papers, provides early feedback and quality control, reduces bias, and allows the analysis of trends. We evaluate the alignment of automatic paper reviews with human reviews using […]


Continue.. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Kavli Affiliate: Avi Shporer | First 5 Authors: Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks | Summary: Automatic reviewing helps handle a large volume of papers, provides early feedback and quality control, reduces bias, and allows the analysis of trends. We evaluate the alignment of automatic paper reviews with human reviews using […]


Continue.. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Elucidating the mechanism of helium evaporation from liquid water

Kavli Affiliate: David T. Limmer | First 5 Authors: Kritanjan Polley, Kevin R. Wilson, David T. Limmer, , | Summary: We investigate the evaporation of trace amounts of helium solvated in liquid water using molecular dynamics simulations and theory. Consistent with experimental observations, we find a super-Maxwellian distribution of kinetic energies of evaporated helium. This […]


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KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark | Summary: A major challenge of AI + Science lies in their inherent incompatibility: today’s AI is primarily based on connectionism, while science depends on symbolism. To bridge the two worlds, we propose a framework to seamlessly […]


Continue.. KAN 2.0: Kolmogorov-Arnold Networks Meet Science