cond-mat.mtrl-sci · 2026-06-09 · No. 18

Materials Science, 2026-06-09.

1 new papers in cond-mat.mtrl-sci. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM

    Jiadong Dan, Cheng Zhang, Leyi Loh, Ivan Verzhbitskiy, Yuan Chen, Goki Eda, Michel Bosman, N. Duane Loh

    cond-mat.mtrl-sci · cs.AI

    Artificial intelligence is rapidly advancing materials characterization, yet most applications in electron microscopy rely solely on image contrast, overlooking the chemical and experimental context that shapes image formation. This limitation makes defect classification inherently ambiguous, as similar contrasts can arise from different materials or imaging conditions. Here we develop a context-aware learning framework that integrates...

    arxiv.org/abs/2606.09419 · PDF

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