Presentation Information

[Or27]Creating high-accuracy thermodynamic databases to predict PCIs for multicomponent metal hydride systems

*Peter Hannappel1,2, Geun Ho Gu3, Mathew Curnan3, Łukasz Gondek4, Joanna Czub4, Felix Heubner2, Mateusz Balcerzak2,5, Thomas Weißgärber1,2 (1. TUD Dresden University of Technology (Germany), 2. Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM, Dresden (Germany), 3. Korea Institute of Energy Technology, Department of Energy Engineering, Naju (Korea), 4. AGH University of Krakow (Poland), 5. 5Poznan University of Technology (Poland))

Keywords:

hydrogen,metal hydride,CALPHAD,DFT,prediction