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Disambiguation of "Holm, Christian"

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ZnTrack -- Data as Code

, , , , and . (January 2024)
DOI: 10.48550/arXiv.2401.10603

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Univ. -Prof. Ph. D. Christian Holm University of Stuttgart

Dr. -Ing. Christian Fischer University of Stuttgart

Infrared view of the multiphase ISM in NGC 253, , , , , , , , , and 2 other author(s). Astronomy & astrophysics, (2023)

Christian León University of Stuttgart

Univ. -Prof. Dr. -Ing. Hans-Christian Möhring University of Stuttgart

Numerical Modeling of Cutting Characteristics during Short Hole Drilling : Modeling of Kinetic Characteristics, , and . Journal of manufacturing and materials processing, 7 (6): 195 (2023)

Christian Hölzl University of Stuttgart

 

Other publications of authors with the same name

Effects of dielectric mismatch and chain flexibility on the translocation barriers of charged macromolecules through solid state nanopores, , and . Soft Matter, (2012)The ICC* Algorithm: A fast way to include dielectric boundary effects, , and . Comp. Phys. Comm., (2010)Towards Lattice-Boltzmann on Dynamically Adaptive Grids -- Minimally-Invasive Grid Exchange in ESPResSo, , , , , and . ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering, page 1--25. ECCOMAS, (June 2016)Grand-Reaction Method for Simulations of Ionization Equilibria Coupled to Ion Partitioning, , , , , and . Macromolecules, 53 (8): 3007--3020 (April 2020)Permeability estimation of regular porous structures: a comparison of methods, , , , , , , , , and 4 other author(s). Transport in Porous Media, (2021)The Presence of a Wall Enhances the Probability for Ring-Closing Metathesis: Insights from Classical Polymer Theory and Atomistic Simulations, , and . Macromolecular Theory and Simulations, 30 (2): 2000076 (2021)Scripts and Data for "Towards a phenomenological understanding of neural networks: data", , , and . Software, (2023)Related to: Tovey, S. J. et al. (2023) ‘Towards a phenomenological understanding of neural networks: data’, Machine Learning: Science and Technology. doi: 10.1088/2632-2153/acf099.Emergence of Accurate Atomic Energies from Machine Learned Noble Gas Potentials, , and . (2024)Generating Minimal Training Sets for Machine Learned Potentials, , and . (2023)Polydispersity Influence upon Magnetic Properties of Aggregated Ferrofluids, , , and . Zeitschrift für Physikalische Chemie, 220 (1): 105--115 (2006)