Institute of Pharmaceutical Sciences

output

20112022

most citedFinding Density Functionals with Machine Learning

662 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Katja Hansen3 · h 15
Klaus-Robert Müller3 · h 6
Matthias Rupp3 · h 31
John C. Snyder2 · h 8
K. Burke2 · h 71
A. Eichler1 · h 21
A. Tkatchenko1 · h 82
Á. Vázquez-Mayagoitia1 · h 23
C. Degen1 · h 32
G. Montavon1 · h 40
Hiroki Takahashi1 · h 7
Leo Blooston1 · h 1

collaborating institutions

ETH ZurichCH4 papers
Korea UniversityKR3 papers
Technische Universität BerlinDE3 papers
Fritz Haber Institute of the Max Planck SocietyDE2 papers
University of California, IrvineUS2 papers
Argonne Leadership Computing Facility1 paper
Argonne National LaboratoryUS1 paper
Laboratory for Solid State PhysicsCH1 paper
Pohang University of Science and TechnologyKR1 paper
University of BaselCH1 paper
University of BristolGB1 paper
University of ZurichCH1 paper

Showing 2011Show all

1 paper · 1 filter

physics.comp-ph2011★ 662 cited

Finding Density Functionals with Machine Learning

John C. Snyder, Matthias Rupp, Katja Hansen +2

Machine learning is used to approximate density functionals. For the model problem of the kinetic energy of non-interacting fermions in 1d, mean absolute errors below 1 kcal/mol on…