Markus Eisenbach
Markus Eisenbach
Senior Computational Scientist, Oak Ridge National Laboratory
Verified email at
Cited by
Cited by
Deciphering chemical order/disorder and material properties at the single-atom level
Y Yang, CC Chen, MC Scott, C Ophus, R Xu, A Pryor, L Wu, F Sun, ...
Nature 542 (7639), 75-79, 2017
Tuning Fermi Levels in Intrinsic Antiferromagnetic Topological Insulators MnBi2Te4 and MnBi4Te7 by Defect Engineering and Chemical Doping
MH Du, J Yan, VR Cooper, M Eisenbach
Advanced Functional Materials 31 (3), 2006516, 2021
Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects
SF Yuk, KC Pitike, SM Nakhmanson, M Eisenbach, YW Li, VR Cooper
Scientific reports 7 (1), 43482, 2017
Machine-learning-assisted insight into spin ice Dy2Ti2O7
AM Samarakoon, K Barros, YW Li, M Eisenbach, Q Zhang, F Ye, ...
Nature communications 11 (1), 892, 2020
Effect of lattice vibrations on magnetic phase transition in bcc iron
J Yin, M Eisenbach, DM Nicholson, A Rusanu
Physical Review B 86 (21), 214423, 2012
Robust data-driven approach for predicting the configurational energy of high entropy alloys
J Zhang, X Liu, S Bi, J Yin, G Zhang, M Eisenbach
Materials & Design 185, 108247, 2020
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach
X Liu, J Zhang, J Yin, S Bi, M Eisenbach, Y Wang
Computational Materials Science 187, 110135, 2021
Reinventing atomistic magnetic simulations with spin-orbit coupling
D Perera, M Eisenbach, DM Nicholson, GM Stocks, DP Landau
Physical Review B 93 (6), 060402, 2016
Density-functional Monte-Carlo simulation of CuZn order-disorder transition
SN Khan, M Eisenbach
Physical Review B 93 (2), 024203, 2016
Magnetic anisotropy of monoatomic iron chains embedded in copper
M Eisenbach, BL Györffy, GM Stocks, B Újfalussy
Physical Review B 65 (14), 144424, 2002
Predicting the phase stability of multicomponent high-entropy compounds
KC Pitike, S Kc, M Eisenbach, CA Bridges, VR Cooper
Chemistry of Materials 32 (17), 7507-7515, 2020
Accelerated application development: The ORNL Titan experience
W Joubert, R Archibald, M Berrill, WM Brown, M Eisenbach, R Grout, ...
Computers & Electrical Engineering 46, 123-138, 2015
Collective dynamics in atomistic models with coupled translational and spin degrees of freedom
D Perera, DM Nicholson, M Eisenbach, GM Stocks, DP Landau
Physical Review B 95 (1), 014431, 2017
Dislocation core structures and Peierls stresses of the high-entropy alloy NiCoFeCrMn and its subsystems
X Liu, Z Pei, M Eisenbach
Materials & Design 180, 107955, 2019
GPU acceleration of the locally selfconsistent multiple scattering code for first principles calculation of the ground state and statistical physics of materials
M Eisenbach, J Larkin, J Lutjens, S Rennich, JH Rogers
Computer Physics Communications 211, 2-7, 2017
OpenMP application experiences: Porting to accelerated nodes
S Bak, C Bertoni, S Boehm, R Budiardja, BM Chapman, J Doerfert, ...
Parallel Computing 109, 102856, 2022
A scalable method for ab initio computation of free energies in nanoscale systems
M Eisenbach, CG Zhou, DM Nicholson, G Brown, J Larkin, TC Schulthess
Proceedings of the Conference on High Performance Computing Networking …, 2009
First principles calculation of finite temperature magnetism in Fe and Fe3C
M Eisenbach, DM Nicholson, A Rusanu, G Brown
Journal of Applied Physics 109 (7), 2011
New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-Tc superconductors
G Alvarez, MS Summers, DE Maxwell, M Eisenbach, JS Meredith, ...
SC'08: Proceedings of the 2008 ACM/IEEE Conference on Supercomputing, 1-10, 2008
Phonon-magnon interactions in body centered cubic iron: A combined molecular and spin dynamics study
D Perera, DP Landau, DM Nicholson, G Malcolm Stocks, M Eisenbach, ...
Journal of Applied Physics 115 (17), 2014
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