Kavli Affiliate: Alexander P. Ji | First 5 Authors: Vinicius M. Placco, Guilherme Limberg, Anirudh Chiti, Deepthi S. Prabhu, Alexander P. Ji | Summary: In this work, we present high-resolution spectroscopic observations for six metal-poor stars with [Fe/H]<-3 (including one with [Fe/H]<-4), selected using narrow-band Ca II HK photometry from the DECam MAGIC Survey. The […]
Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Peter K. Blanchard, Peter K. Blanchard, , , | Summary: We present deep James Webb Space Telescope near-infrared imaging to search for a quiescent or transient counterpart to FRB 20250316A, which was precisely localized with the CHIME/FRB Outriggers array to an area of $11times13$ pc in […]
Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: The CHIME/FRB Collaboration, The CHIME/FRB Collaboration, , , | Summary: Precise localizations of a small number of repeating fast radio bursts (FRBs) using very long baseline interferometry (VLBI) have enabled multiwavelength follow-up observations revealing diverse local environments. However, the 2–3% of FRB sources that are observed […]
Kavli Affiliate: David Charbonneau | Summary:As the field of exoplanetary astronomy has matured, demand has grown for precise stellar abundances to probe subtle correlations between stellar compositions and planetary demographics. However, drawing population-level conclusions from the disparate measurements in the literature is challenging, with various groups measuring metallicities using bespoke codes with differing line lists, […]
Kavli Affiliate: Tim H. Taminiau | Summary:High-throughput characterization often requires estimating parameters and model dimension from experimental data of limited quantity and quality. Such data may result in an ill-posed inverse problem, where multiple sets of parameters and model dimensions are consistent with available data. This ill-posed regime may render traditional machine learning and deterministic […]
Kavli Affiliate: Tim H. Taminiau | Summary:High-throughput characterization often requires estimating parameters and model dimension from experimental data of limited quantity and quality. Such data may result in an ill-posed inverse problem, where multiple sets of parameters and model dimensions are consistent with available data. This ill-posed regime may render traditional machine learning and deterministic […]
Kavli Affiliate: Kristin Persson | Summary:Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state probability, and reaction pathway calculations to guide the exploration of transition metal […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Haiwen Dai, Haiwen Dai, , , | Summary: Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state […]
Kavli Affiliate: Long Zhang | First 5 Authors: , , , , | Summary: Spin splitting in emerging altermagnets is non-relativistic and momentum-dependent, yet energy-independent, and localized in momentum space, posing challenges for practical applications. Here, we propose an intercalation-driven paradigm for altermagnets to attain ameliorative electronic structures, multiferroic characteristics, and anomalous and spin transport […]
Kavli Affiliate: Ke Wang | First 5 Authors: Yiyao Wang, Yiyao Wang, , , | Summary: Direct volume rendering (DVR) is a fundamental technique for visualizing volumetric data, where transfer functions (TFs) play a crucial role in extracting meaningful structures. However, designing effective TFs remains unintuitive due to the semantic gap between user intent and […]