Chen, T.; Lu, W.; Li, J.; Chen, S.; Li, C.; Weng, G. J.: Tailoring tensile ductility of thin film by grain size graded substrates. International Journal of Solids and Structures 166, pp. 124 - 134 (2019)
Liu, C.; Lu, W.; Weng, G. J.; Li, J.: A cooperative nano-grain rotation and grain-boundary migration mechanism for enhanced dislocation emission and tensile ductility in nanocrystalline materials. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 756, pp. 284 - 290 (2019)
Li, J.; Weng, G. J.; Chen, S.; Wu, X.: On strain hardening mechanism in gradient nanostructures. International Journal of Plasticity 88, pp. 89 - 107 (2017)
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.