FRB 20250316A: A Brilliant and Nearby One-Off Fast Radio Burst Localized to 13 parsec Precision

Posted by klaurent MIT

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 […]


Continue.. FRB 20250316A: A Brilliant and Nearby One-Off Fast Radio Burst Localized to 13 parsec Precision

Metallicities from High-Resolution TRES Spectra with uberMS: Performance Benchmarks and Literature Comparison

Posted by klaurent Harvard

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, […]


Continue.. Metallicities from High-Resolution TRES Spectra with uberMS: Performance Benchmarks and Literature Comparison

Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data

Posted by klaurent Delft

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 […]


Continue.. Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data

Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data

Posted by klaurent Delft

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 […]


Continue.. Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data

Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Posted by klaurent Berkeley

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 […]


Continue.. Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Posted by klaurent Berkeley

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 […]


Continue.. Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Lithium and Vanadium Intercalation into Bilayer V2Se2O: Ferrimagnetic-Ferroelastic Multiferroics and Anomalous and Spin Transport

Posted by klaurent UCAS

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 […]


Continue.. Lithium and Vanadium Intercalation into Bilayer V2Se2O: Ferrimagnetic-Ferroelastic Multiferroics and Anomalous and Spin Transport

IntuiTF: MLLM-Guided Transfer Function Optimization for Direct Volume Rendering

Posted by klaurent Peking

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 […]


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Advanced human iPSC-based modelling of LMNA-related congenital muscular dystrophy enables development of targeted genetic therapies for muscle laminopathies

Posted by dbos NTNU

Kavli Affiliate: Valentina Di Maria | Authors: Daniel P. Moore, Heather B. Steele-Stallard, Luca Pinton, Valentina Maria Lionello, Lucia Rossi, Artadokht Aghaeipour, Salma Jalal, Cherry Tsz Yan Wong, Angela Clara-Hwang, Gisèle Bonne, Peter S. Zammit and Francesco Saverio Tedesco | Summary: LMNA-related congenital muscular dystrophy (L-CMD) is amongst the most severe forms of laminopathies, which […]


Continue.. Advanced human iPSC-based modelling of LMNA-related congenital muscular dystrophy enables development of targeted genetic therapies for muscle laminopathies

Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model

Posted by dbos Columbia

Kavli Affiliate: Kenneth Miller | Authors: Ho Yin Chau, Kenneth D Miller and Agostina Palmigiano | Summary: What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of […]


Continue.. Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model