Computational materials science

Everyone is talking about #digitalization, artificial intelligence and big data - but how do these methods help to discover new materials or make alloys more efficient? And why should experiment and #simulation go hand in hand?
Eslam Ibrahim explains how #computational science in this field combines programming and mathematical experience, advanced physics, chemistry and materials science. He presents “pyiron”, a Python based framework developed at the Max-Planck-Institut für Eisenforschung. It allows to implement and test simulation protocols and upscale them thus helps in saving time and costs of experiments.
Watch our other videos on TH-cam to get more information about our research and visit our website about digital material science: www.mpie.de/41...
©Max-Planck-Institut für Eisenforschung GmbH

[@shahab_moradi]

how can international students apply for this course (CMS)? and what are the requirements?

[@mpisusmat]

Dear Shahab, thanks for reaching out. Do you mean using pyiron or do you mean working in the department "Computational Materials Design" as a researcher?

[@victormavika9168]

Using pyiron?

[@mpisusmat]

@@victormavika9168 please have a look at the pyiron software package (open source): github.com/pyiron

[@suparnabiswal8118]

Work as a researcher ?

[@mpisusmat]

@@suparnabiswal8118 Dear Suparna, please have a look at our career page www.mpie.de/2747317/career - you can also apply anytime by sending your application to the group leader you want to work with, even if no open position is announced.