Argonne National Laboratory

Machine Learning

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to machine learning.

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  • Shashikant M. Aithal

    Shashi specializes in high-fidelity multiphysics/multiscale simulations and reduced-order modeling in multi-disciplinary areas of science and engineering using supercomputers.

  • Calem R. Hoffman

    My interests lie in experimental and theoretical research related to understanding the structure of light nuclei.

  • Yine Sun

    APS linac manager. Electron injector design, optimization and operations.

  • Richard B. Vilim

    Richard Vilim is a Senior Nuclear Engineer and manages the Plant Analysis & Control and Sensors Department within Argonne’s Nuclear Science and Engineering Division.

  • The flat and the curious

    The remarkable properties of 2-D materials — made up of a single layer of atoms — have made them among the most intensely studied materials of our time.
    A snapshot of silicene (shown in yellow), a 2-D material made up of silicon atoms, as it grows on iridium substrate (shown in red).

  • Small Brain, Big Data

    A neuroscientist and a computational scientist walk into a synchrotron facility to study a mouse brain… Sounds like a great set-up for a comedy bit, but there is no punchline.