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Showing 1–4 of 4 results
Advanced filters: Author: Renzhi Shao Clear advanced filters
  • This work introduces a bilevel optimization framework that discovers optimal reward functions for embodied reinforcement learning agents through a mechanism called regret minimization. The approach accelerates policy optimization and enhances adaptability across diverse tasks.

    • Renzhi Lu
    • Zonghe Shao
    • Hai-Tao Zhang
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • The EMDataResource Ligand Model Challenge aimed at assessing the reliability and reproducibility of modeling ligands bound to protein and protein–nucleic acid complexes in cryo-EM maps determined at near-atomic resolution. This analysis presents the results and recommends best practices for assessing cryo-EM structures of liganded macromolecules.

    • Catherine L. Lawson
    • Andriy Kryshtafovych
    • Wah Chiu
    Research
    Nature Methods
    Volume: 21, P: 1340-1348
  • While high harmonic x-ray sources are well established sources for ultrafast spectroscopy, the decrease in efficiency towards higher energies limits their application. Here, a loose-focused, TW mid-IR laser is used to generate high harmonic soft x-rays with pulse energies of a few nJ in the water window and easy energy scaling.

    • Yuxi Fu
    • Kotaro Nishimura
    • Eiji J. Takahashi
    ResearchOpen Access
    Communications Physics
    Volume: 3, P: 1-10