• National Polytechnic Institute, Mexico, B.S. in Aeronautics, 2001
  • National Polytechnic Institute, Mexico, M.S. in Metallurgy, 2003
  • RWTH-Aachen University, Germany, Ph.D. in Materials Science, 2008


Luis A. Barrales-Mora, a native of Mexico City is currently an adjunct associate professor at the Georgia Institute of Technology campus Lorraine. He received with distinction a Bachelor of Engineering in Aeronautics in 2001 and a Master of Science in Metallurgy in 2003 from the National Polytechnic Institute, Mexico. In 2003, he was awarded with a grant for doctoral studies from the German Academic Exchange Service. In 2008, he received his Ph.D. (magna cum laude) in Materials Science from the RWTH-Aachen University. He held a postdoctoral position at the Institute of Physical Metallurgy and Metal Physics until 2010, when he was promoted to lecturer and research group leader and from 2015-2016 he was appointed as the interim director of the institute.


Dr. Barrales’ research interests include, among others, the simulation of physical processes of microstructure evolution in metals, and the thermal stability of nanocrystalline materials with an emphasis on the properties of solid-solid interphases and their effect on the synthesis, processing and operation of metallic materials. The next topics have been developed in the past five years:

  • Massively parallel materials modeling.The activities of my research group involve the development of new simulation approaches for microstructure evolution that make optimal use of massively parallel computer architectures.
  • Mechanisms of grain boundary migration.By means of atomistic simulations, we study the mechanisms of grain boundary migration under the effect of different driving forces. The understanding of these mechanisms allows for a better modelling of the phenomena of microstructure modification at the mesoscopic scale.
  • Heat treatment in high-Mn steels and high entropy alloys. The changes of microstructure and texture during heat treatment are studied experimentally and by means of computer simulations.
  • Low-loss electrical steel for electromobility. New electrical steels with reduced magnetic losses are developed for their application in electrical cars.

Optimized microstructure for a parallel computer architecture

Figure 1. Optimized microstructure for a parallel computer architecture. To minimize remote memory access, the grains were clustered topologically and assigned to specific computational nodes. This allowed a speed up of 20x compared to similar parallel simulations for a simulation of grain growth.

Distinctions and Awards

  • Research Grant, Outstanding Young Scientists Program of the German Research Foundation (DFG), 2008
  • Outstanding Young Scientist Award, 3rd Conference on Recrystallization and Grain Growth, Korea, 2007
  • Grant Award for Doctoral Studies, German Academic Exchange Service (DAAD), 2004
  • Honorable Mention for Outstanding Academic Achievements, Mexico, 2001


1.  A highly efficient 3D level-set grain growth algorithm tailored for ccNUMA architecture. C Mießen, N Velinov, G Gottstein, LA Barrales-Mora. Modelling Simul. Mater. Sci. Eng. 2017;25:084002
2.  Grain-resolved kinetics and rotation during grain growth of nanocrystalline Aluminium by molecular dynamics. PW Hoffrogge, LA Barrales-Mora. Comp. Mat. Sci. 2017;128C:207
3. Enhancement of the strength-ductility combination of twinning-induced/transformation-induced plasticity steels by reversion annealing. F Berrenberg, C Haase LA Barrales-Mora, DA Molodov. Mat. Sci. Eng. A 2017;681:56
4. Capillarity-driven shrinkage of grains with tilt and mixed boundaries studied by molecular dynamics. LA Barrales-Mora, DA Molodov. Acta Materialia 2016;120:179
5. The role of atomic scale segregation in designing highly ductile magnesium alloys. I Basu, KG Pradeep, C Mießen, LA Barrales-Mora, T Al-Samman. Acta Materialia 2016;116:77
6. A statistical ensemble cellular automaton microstructure model for primary recrystallization. M Kühbach, G Gottstein, LA Barrales-Mora. Acta Materialia 2016;107:366
7. On the applicability of recovery-annealed Twinning-Induced Plasticity steels: Potential and limitations. C Haase, T Ingendahl, O Güvenç, M Bambach, W Bleck, DA Molodov, LA Barrales-Mora. Materials Science and Engineering A 2016;649:74
8. Recrystallization behavior of a high-manganese steel: Experiments and simulations. C Haase, M Kühbach, LA Barrales-Mora, SL Wong, F Roters, DA Molodov, G Gottstein. Acta Materialia 2015;100:155
9. An advance level set approach to grain growth – Accounting for grain boundary anisotropy and finite triple junction mobility. C Mießen, M Liesenjohann, LA Barrales-Mora, LS Shvindlerman, G Gottstein. Acta Materialia 2015;99:39
10. Applying the texture analysis for optimizing thermomechanical treatment of high manganese twinning-induced plasticity steel. C Haase, LA Barrales-Mora, F Roters, DA Molodov, G Gottstein. Acta Mater 2014;80:327