Grabowski, B.: Modern materials design from first-principles: Recent progress and future prospects. Seminar, Imperial College London, London, UK (2015)
Grabowski, B.: Ab initio thermodynamics of the CoCrFeMnNi high entropy alloy: Importance of entropy contributions beyond the configurational one. ICAMS Seminar, Ruhr-University Bochum, Bochum, Germany (2015)
Grabowski, B.: Random phase approximation up to the melting point: The impact of anharmonicity and non-local many-body effects on the thermodynamics of Au. MISIS Workshop, Moscow, Russia (2015)
Körmann, F.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Temperature-dependent coupling of atomic and magnetic degree of freedom from first-principles. Electronic Structure Theory for the Accelerated Design of Structural Materials, Moscow, Russia (2015)
Grabowski, B.; Wippermann, S. M.; Glensk, A.; Hickel, T.; Neugebauer, J.: Random phase approximation up to the melting point: Impact of anharmonicity and nonlocal many-body effects on the thermodynamics of Au. DPG Spring Meeting 2015, Berlin, Germany (2015)
Hickel, T.; Glensk, A.; Grabowski, B.; Körmann, F.; Neugebauer, J.: Thermodynamics of materials up to the melting point: The role of anharmonicities. Asia Sweden Meeting on Understanding Functional Materials from Lattice dynamics, Guwahati, India (2014)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…