Research

Broadly speaking, the research of the HPNALGS chair focuses on numerical linear algebra including both deterministic and randomized algorithms,  high-performance computing for scientific applications particularly in molecular simulations, and low-rank tensor methods for approximating solutions to high-dimensional problems.

      Current Research Projects

    • EMC2: Extreme-scale Mathematically-based Computational Chemistry project
    • 2019 – 2025, ERC Syngergy Grant.
    • with E. Cances, Y. Maday, and J.-P. Piquemal, Sorbonne University, ENPC
    • PASC: Novel algorithms based on randomization and mixed precision for electronic-structure calculations
    • 2025 – 2027, PASC RandESC
    • with Nicola Marzari (EPFL/PSI) and Iurii Timrov (PSI)