Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Tomas Oppelstrup Clear advanced filters

  • Tackling scientific problems often requires computational models that bridge several spatial and temporal scales. A new simulation framework employing machine learning, which is scalable and can be used on standard laptops as well as supercomputers, promises exhaustive multiscale explorations.

    • Harsh Bhatia
    • Timothy S. Carpenter
    • Peer-Timo Bremer
    Research
    Nature Machine Intelligence
    Volume: 3, P: 401-409

  • In contrast with conventional views, ultra-large-scale atomistic simulations show that the staged character of strain hardening of metals originates from crystal rotation, whereas the dislocation behaviours remain the same across all the stages.

    • Luis A. Zepeda-Ruiz
    • Alexander Stukowski
    • Vasily V. Bulatov
    Research
    Nature Materials
    Volume: 20, P: 315-320

  • The limits of dislocation-mediated metal plasticity are studied by using in situ computational microscopy to reduce the enormous amount of data from fully dynamic atomistic simulations into a manageable form.

    • Luis A. Zepeda-Ruiz
    • Alexander Stukowski
    • Vasily V. Bulatov
    Research
    Nature
    Volume: 550, P: 492-495