Espresso 3.1: Molecular dynamics software for coarse-grained models A Arnold, O Lenz, S Kesselheim, R Weeber, F Fahrenberger, D Roehm, ... Meshfree methods for partial differential equations VI, 1-23, 2013 | 231 | 2013 |
Meshfree methods for partial differential equations VI A Arnold, O Lenz, S Kesselheim, R Weeber, F Fahrenberger, D Roehm, ... Lecture Notes in Computational Science and Engineering 89, 1-23, 2013 | 80 | 2013 |
Origin of current blockades in nanopore translocation experiments S Kesselheim, W Müller, C Holm Physical review letters 112 (1), 018101, 2014 | 75 | 2014 |
Efficient algorithms for electrostatic interactions including dielectric contrasts A Arnold, K Breitsprecher, F Fahrenberger, S Kesselheim, O Lenz, ... Entropy 15 (11), 4569-4588, 2013 | 58 | 2013 |
Hydrodynamic interactions slow down crystallization of soft colloids D Roehm, S Kesselheim, A Arnold Soft matter 10 (30), 5503-5509, 2014 | 36 | 2014 |
A hybrid process for chiral separation of compound‐forming systems L Gou, S Robl, K Leonhard, H Lorenz, M Sordo, A Butka, S Kesselheim, ... Chirality 23 (2), 118-127, 2011 | 28 | 2011 |
Tracer diffusion in a crowded cylindrical channel R Chakrabarti, S Kesselheim, P Košovan, C Holm Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (6 …, 2013 | 23 | 2013 |
Applying ICC⋆ to dna translocation: Effect of dielectric boundaries S Kesselheim, M Sega, C Holm Computer Physics Communications 182 (1), 33-35, 2011 | 23 | 2011 |
Tokenizer Choice For LLM Training: Negligible or Crucial? M Ali, M Fromm, K Thellmann, R Rutmann, M Lübbering, J Leveling, ... arXiv preprint arXiv:2310.08754, 2023 | 20 | 2023 |
Effects of dielectric mismatch and chain flexibility on the translocation barriers of charged macromolecules through solid state nanopores S Kesselheim, M Sega, C Holm Soft Matter 8 (36), 9480-9486, 2012 | 19 | 2012 |
MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery T Siebenmorgen, F Menezes, S Benassou, E Merdivan, K Didi, ... Nature Computational Science, 1-12, 2024 | 18 | 2024 |
Juwels booster–a supercomputer for large-scale ai research S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ... High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | 18 | 2021 |
A coarse-grained DNA model for the prediction of current signals in DNA translocation experiments F Weik, S Kesselheim, C Holm The Journal of chemical physics 145 (19), 2016 | 14 | 2016 |
Acquisitions with random shim values enhance AI-driven NMR shimming M Becker, S Lehmkuhl, S Kesselheim, JG Korvink, M Jouda Journal of Magnetic Resonance 345, 107323, 2022 | 12 | 2022 |
Visual analysis for space–time aggregation of biomolecular simulations T Ertl, M Krone, S Kesselheim, K Scharnowski, G Reina, C Holm Faraday discussions 169, 167-178, 2014 | 12 | 2014 |
The icc* algorithm: A fast way to include dielectric boundary effects into molecular dynamics simulations S Kesselheim, M Sega, C Holm arXiv preprint arXiv:1003.1271, 2010 | 8 | 2010 |
Lecture Notes in Computational Science and Engineering A Arnold, O Lenz, S Kesselheim, R Weeber, F Fahrenberger, D Roehm, ... Springer 89, 1, 2013 | 7 | 2013 |
Meshfree Methods for Partial Differential Equations VI, 2013 A Arnold, O Lenz, S Kesselheim, R Weeber, F Fahrenberger, D Röhm, ... Search PubMed, 1-23, 0 | 6 | |
Simulations of DNA translocation through nanopores S Kesselheim Stuttgart, Universität Stuttgart, Diss., 2014, 2015 | 4 | 2015 |
RNA contact prediction by data efficient deep learning O Taubert, F von der Lehr, A Bazarova, C Faber, P Knechtges, M Weiel, ... Communications biology 6 (1), 913, 2023 | 3 | 2023 |