2 papers
astro-ph.GA2025
287,872 Supermassive Black Holes Masses: Deep Learning Approaching Reverberation Mapping Accuracy
Yuhao Lu, HengJian SiTu, Jie Li +4
We present a population-scale catalogue of 287,872 supermassive black hole masses with high accuracy. Using a deep encoder-decoder network trained on optical spectra with reverbera…
cond-mat.mtrl-sci2025
MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys
Yanchen Deng, Chendong Zhao, Yixuan Li +10
The discovery of advanced metallic alloys is hindered by vast composition spaces, competing property objectives, and real-world constraints on manufacturability. Here we introduce…