Michael Herbst

michael.herbst@epfl.ch +41 21 693 89 89 https://matmat.org

EPFL SB MATH MATMAT1
MA B1 467 (Bâtiment MA)
Station 8
1015 Lausanne

+41 21 693 89 89
Office: MA B1 467
EPFL › SB › MATH › MATMAT1

Website: https://matmat.org/

+41 21 693 89 89
EPFL › STI › IMX › MATMAT2

Website: https://matmat.org/

+41 21 693 89 89
EPFL › SB › SB-SMA › SMA-ENS

Website: https://sma.epfl.ch/

Expertise

For more information about our research, see https://matmat.org/research/.

See also

https://matmat.org: Group website
https://michael-herbst.com: Blog & personal website

Publications Teaching & PhD

MatMat group publications

Journal Articles

2025

Mathematical Methods in Quantum Chemistry

G. Dusson; M. F. Herbst; B. Stamm

Oberwolfach Reports. 2025. DOI : 10.4171/owr/2025/15.

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Kohn-Sham inversion with mathematical guarantees

M. F. Herbst; V. H. Bakkestuen; A. Laestadius

Physical Review B. 2025. DOI : 10.1103/physrevb.111.205143.

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2024

Multitask methods for predicting molecular properties from heterogeneous data

K. E. Fisher; M. F. Herbst; Y. M. Marzouk

The Journal of chemical physics. 2024. DOI : 10.1063/5.0201681.

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ddX: Polarizable continuum solvation from small molecules to proteins

M. Nottoli; M. F. Herbst; A. Mikhalev; A. Jha; F. Lipparini et al.

Wiley Interdisciplinary Reviews: Computational Molecular Science. 2024. DOI : 10.1002/wcms.1726.

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2023

Reduced basis surrogates for quantum spin systems based on tensor networks

P. Brehmer; M. F. Herbst; S. Wessel; M. Rizzi; B. Stamm

Physical Review E. 2023. DOI : 10.1103/PhysRevE.108.025306.

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Teaching & PhD

Current Phd

Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans

Courses

Error control in scientific modelling

Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for estimating simulation error.

Numerical analysis

The students will learn key numerical techniques for solving standard mathematical problems in science and engineering. The underlying mathematical theory and properties are discussed.