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Showing 1–3 of 3 results
Advanced filters: Author: João Augusto Sobral Clear advanced filters

  • Neural quantum states can accurately approximate ground-state wavefunctions but dependence on the single-particle basis and limited physical interpretability remain key challenges. Here the authors combine neural quantum states with effective theories to enhance interpretability and efficiency, while quantifying how well theories describe quantum systems.

    • João Augusto Sobral
    • Michael Perle
    • Mathias S. Scheurer
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10

  • Machine learning methods in condensed matter physics are an emerging tool for providing powerful analytical methods. Here, the authors demonstrate that convolutional neural networks can identify nematic electronic order from STM data of twisted double-layer graphene—even in the presence of heterostrain.

    • João Augusto Sobral
    • Stefan Obernauer
    • Mathias S. Scheurer
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-9