| Comparison of scalable fast methods for long-range interactions A Arnold, F Fahrenberger, C Holm, O Lenz, M Bolten, H Dachsel, ... Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (6 …, 2013 | 97 | 2013 |
| The nano-branched structure of cementitious calcium–silicate–hydrate gel JS Dolado, M Griebel, J Hamaekers, F Heber Journal of Materials Chemistry 21 (12), 4445-4449, 2011 | 89 | 2011 |
| A molecular dynamics study on the impact of defects and functionalization on the Young modulus of boron–nitride nanotubes M Griebel, J Hamaekers, F Heber Computational Materials Science 45 (4), 1097-1103, 2009 | 74 | 2009 |
| Biomolecules as soft matter surfaces AM Bittner, F Heber, J Hamaekers Surface science 603 (10-12), 1922-1925, 2009 | 13 | 2009 |
| ScaFaCoS, C subroutine library M Bolten, F Fahrenberger, R Halver, F Heber, M Hofmann, I Kabadshow, ... | 12 | 2016 |
| ScaFaCoS-Scalable Fast Coloumb Solvers A Arnold, M Bolten, H Dachsel, F Fahrenberger, F Gähler, R Halver, ... | 9 | |
| Extraction of quantifiable information from complex systems S Dahlke, W Dahmen, M Griebel, W Hackbusch, K Ritter, R Schneider, ... Springer International Publishing, 2014 | 7 | 2014 |
| Computational 3D simulation of calcium leaching in cement matrices JJ Gaitero, JS Dolado, C Neuen, F Heber, E Koenders INS Preprint, 2012 | 6 | 2012 |
| BOSSANOVA: A bond order dissection approach for efficient electronic structure calculations M Griebel, J Hamaekers, F Heber INS Preprint 704, 2008 | 5 | 2008 |
| TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications F Heber, Z Trstanova, B Leimkuhler arXiv preprint arXiv:1903.08640, 2019 | 4 | 2019 |
| Acceleration of sequential subspace optimization in Banach spaces by orthogonal search directions F Heber, F Schöpfer, T Schuster Journal of Computational and Applied Mathematics 345, 1-22, 2019 | 4 | 2019 |
| 3D computational simulation of calcium leaching in cement matrices JJ Gaitero, JS Dolado, C Neuen, F Heber, EAB Koenders Materiales de Construcción 64 (316), e035-e035, 2014 | 4 | 2014 |
| Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications F Heber, Ž Trst’anová, B Leimkuhler Journal of Machine Learning Research 21 (228), 1-33, 2020 | 3 | 2020 |
| A CG-type method in Banach spaces with an application to computerized tomography F Heber, F Schöpfer, T Schuster arXiv preprint arXiv:1602.04036, 2016 | 3 | 2016 |
| A bond order dissection ANOVA approach for efficient electronic structure calculations M Griebel, J Hamaekers, F Heber Extraction of Quantifiable Information from Complex Systems, 211-235, 2014 | 3 | 2014 |
| Ein systematischer, linear skalierender Fragmentansatz für das Elektronenstrukturproblem F Heber Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Diss., 2014, 2014 | 3 | 2014 |
| HYPERMATH-Hyperspectral Imaging: mathematische Methoden für Innovationen in Medizin und Industrie: Schlussbericht zum BMBF-Projekt: Teilvorhaben: TP T3: Effiziente … F Heber, T Schuster, H Zähle Universität des Saarlandes, Fachrichtung Mathematik, 2017 | | 2017 |
| HYPERMATH-Hyperspectral Imaging: mathematische Methoden für Innovationen in Medizin und Industrie: Schlussbericht zum BMBF-Projekt: Teilvorhaben: TP T2: Variationsprobleme mit … M Burger, C Brune, F Wübbeling, T Schuster, F Heber Westfälische Wilhelms-Universität Münster, 2017 | | 2017 |
| BOSSANOVA-A bond order dissection approach for efficient electronic structure calculations F Heber, M Griebel, J Hamaekers | | 2011 |
| A molecular dynamics study on fullerene–implanted carbon nanotori as electronmagnetic sensing and emitting devices M Griebel, F Heber Institut für Numerische Simulation (INS), 2009 | | 2009 |
