Markus Eisenbach
Orcid: 0000-0001-8805-8327Affiliations:
- Oak Ridge National Laboratory, TN, USA
According to our database1,
Markus Eisenbach
authored at least 24 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
Ready for the Frontier: Preparing Applications for the World's First Exascale System.
Proceedings of the High Performance Computing - 38th International Conference, 2023
Proceedings of the International Conference for High Performance Computing, 2023
Proceedings of the International Conference for High Performance Computing, 2023
2022
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials.
Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
2021
Parallel Comput., 2021
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
2019
Error controlling of the combined Cluster-Expansion and Wang-Landau Monte-Carlo method and its application to FeCo.
Comput. Phys. Commun., 2019
Histogram-free multicanonical Monte Carlo sampling to calculate the density of states.
Comput. Phys. Commun., 2019
A greedy constructive algorithm for the optimization of neural network architectures.
CoRR, 2019
2018
Fully-relativistic full-potential multiple scattering theory: A pathology-free scheme.
Comput. Phys. Commun., 2018
2017
Large-Scale Calculations for Material Sciences Using Accelerators to Improve Time- and Energy-to-Solution.
Comput. Sci. Eng., 2017
Acceleration of the Particle Swarm Optimization for Peierls-Nabarro modeling of dislocations in conventional and high-entropy alloys.
Comput. Phys. Commun., 2017
GPU acceleration of the Locally Selfconsistent Multiple Scattering code for first principles calculation of the ground state and statistical physics of materials.
Comput. Phys. Commun., 2017
A Histogram-Free Multicanonical Monte Carlo Algorithm for the Basis Expansion of Density of States.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2017
2015
Comput. Electr. Eng., 2015
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015
2013
Toward Abstracting the Communication Intent in Applications to Improve Portability and Productivity.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
2009
A scalable method for <i>ab initio</i> computation of free energies in nanoscale systems.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009
2008
New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-<i>T</i><sub>c</sub> superconductors.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008
2006
Teraflop Computing for Nanoscience.
Proceedings of the 2006 International Conference on Computer Design & Conference on Computing in Nanotechnology, 2006