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Showing 1–7 of 7 results
Advanced filters: Author: Jiuyang Shi Clear advanced filters

  • Researchers employ machine learning-driven simulations to investigate the behavior of oxygen under extreme pressures up to 1,000 TPa. They identify stable phases and obtain information on the melting line and thermal properties of oxygen, improving our understanding of the structure and evolution of white dwarfs.

    • Yunlong Wang
    • Jiuyang Shi
    • Jian Sun
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-7

  • This study presents a symmetry principle-biased crystal structure prediction scheme within the MAGUS framework, achieving up to a fourfold performance improvement compared with state-of-the-art methods.

    • Yu Han
    • Chi Ding
    • Jian Sun
    Research
    Nature Computational Science
    Volume: 5, P: 255-267

  • Machine learning potential has gained interest for replacing calculations in large systems. Here, authors propose an E(n) equivariant message passing neural network that uses high-order Cartesian tensors to predict properties with high accuracy

    • Junjie Wang
    • Yong Wang
    • Jian Sun
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9

  • Machine-learned potentials are accurate but often lack broad applicability. Here, authors develop a general-purpose neuroevolution potential for 16 metals and their alloys, achieving efficient and accurate predictions of various physical properties.

    • Keke Song
    • Rui Zhao
    • Zheyong Fan
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15

  • Acetylation of histone H3K23 has emerged as an essential posttranslational modification, yet this epigenetic mark remains poorly understood. Here, the authors identify the native MORF complex as a histone H3K23-specific acetyltransferase and show that interaction of the MORF subunit with acylated H3K14 promotes acetylation of H3K23 by this complex to activate transcription.

    • Brianna J. Klein
    • Suk Min Jang
    • Tatiana G. Kutateladze
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13

  • The histone acetyltransferase p300 mostly localizes to active chromatin; however, some repressed genes marked with H3K27me3 are also bound by p300. Here the authors show p300 is capable of phase separation, which relies on its catalytic core, and that p300 catalytic activity is decreased in phase-separated droplets that co-localize with H3K27me3-marked chromatin.

    • Yi Zhang
    • Kyle Brown
    • Tatiana G. Kutateladze
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-15

  • Wastewater dyes from textile, food and pharmaceutical industries are a major environmental concern. This Review discusses the environmental impacts of dye-containing wastewater and explores both conventional and emerging remediation strategies.

    • Jiuyang Lin
    • Wenyuan Ye
    • Bart Van der Bruggen
    Reviews
    Nature Reviews Earth & Environment
    Volume: 4, P: 785-803