Zhao, Y.; Rajkowski, M.; Gong, Y.; Laube, S.; Perrière, L.; Kauffmann, A.; Couzinié, J.-P.; Laplanche, G.; Li, T.: Role of Oxygen in Phase Stability and Mechanical Behavior of the bcc HfNbTaTiZr High-Entropy Alloy During Aging. TMS 2026 Annual Meeting & Exhibition, San Diego, CA, USA (2026)
Zhao, Y.; Zaefferer, S.; Joshi, Y.; Raabe, D.: Understanding of hydrogenation induced defects in a proton-based battery material. DPG Spring Meeting of the Condensed Matter Section, Dresden, Germany (2026)
Zhao, Y.; Fantin, A.; Li, Y.; Li, T.; Gong, Y.: Quantifying chemical short-range order and local lattice distortion in Ti–Zr–Nb alloys. DPG Spring Meeting of the Condensed Matter Section, Dresden, Germany (2026)
Woods, E.; Schwarz, T. M.; Zhao, Y.; Gault, B.: Crystalline amino acid mass spectral fragmentation in different forms and under different conditions using atom probe tomography. European Atom Probe Tomography Workshop, Marseille, France (2025)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…