Lee, S. B.; Chae, J. Y.; Paeng, J.; Kang, S. G.; Han, H. N.: A thermal origin for contrasting electron-irradiation responses in carbon allotropes. Carbon 253, 121450 (2026)
Paeng, J.: Liquid-encapsulated copper microspheres: Impact of global and local stress state on fracture behavior. Engineering Conferences International (ECI), Mechanical Testing in Materials Research and Development X, Rhodes, Greece (2026)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
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.