Dsouza, R.; Poul, M.; Huber, L.; Swinburne, T. D.; Neugebauer, J.: Sampling-free computation of finite temperature material properties in isochoric and isobaric ensembles using the mean-field anharmonic bond model. Physical Review B 109, 064108 (2024)
Dsouza, R.; Huber, L.; Grabowski, B.; Neugebauer, J.: Approximating the impact of nuclear quantum effects on thermodynamic properties of crystalline solids by temperature remapping. Physical Review B 105 (18), 184111 (2022)
Dsouza, R.; Huber, L.; Swinburne, T. D.; Neugebauer, J.: Sampling-free thermodynamics in bulk crystalline metals from the mean-field anharmonic bond model. The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic (2024)
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 project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.