Zhu, L.-F.; Neugebauer, J.; Grabowski, B.: A computationally highly efficient ab initio approach for melting property calculations and practical applications. CALPHAD 2024, Mannheim, Germany (2024)
Zhu, L.-F.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential and pyiron workflow. New Horizons in materials design at MPIE, Düsseldorf, Germany (2023)
If manganese nodules can be mined in an environmentally friendly way, the critical metals needed for the energy transition could be produced with low CO2 emissions
Alper Kasirga wins the Max Planck Apprenticeship Award and the Max Planck Institute for Sustainable Materials is recognised as an excellent training institution