Argonne National Laboratory

Computational Methods

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 computational methods.

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  • Graham D. Fletcher

    Graham Fletcher has a background in quantum chemistry and supercomputing. His research interests focus on the development of highly scalable methods and algorithms for the accurate and reliable prediction of chemical phenomena.

  • 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.

  • James C. Osborn

    James specializes in quantum field theory and lattice simulation methods, with an emphasis on lattice QCD.  He also has interests in quantum computing, HPC, sparse linear algebra, applying ML methods to Hybrid Monte Carlo, and random matrix theory.