Ran An

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang

The vast chemical diversity of crystalline phosphates and the high cost of first‐principles calculations hinder rapid discovery of wide‐bandgap materials. Here, we develop an interpretable machine‐learning framework for phosphate bandgap ( E g ) prediction and descriptor‐guided d…Read more

Unsupervised Deep-learning Methods for Low-dose Computed Tomography Reconstruction

Ran An

Computed tomography (CT) has become an indispensable imaging technique in medical diagnostics and industrial applications, owing to its non-invasive nature and high resolution in visualizing object internal structures. While X-ray CT (X-ray computed tomography) significantly enha…Read more

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