158 citations · 240 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Machine Phenomenology: A Simple Equation Classifying Fast Radio Bursts
Yang Liu, Yuhao Lu, Rahim Moradi +4
This work shows how human physical reasoning can guide machine-driven symbolic regression toward discovering empirical laws from observations. As an example, we derive a simple equ…
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…
Autonomous Multi-objective Alloy Design through Simulation-guided Optimization
Penghui Yang, Chendong Zhao, Bijun Tang +11
Alloy discovery is constrained by vast compositional spaces, competing objectives, and prohibitive experimental costs. Although simulations and machine learning have each accelerat…