Imrich, P. J.; Kirchlechner, C.; Dehm, G.: Influence of inclined twin boundaries on the deformation behavior of Cu micropillars. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 642, pp. 65 - 70 (2015)
Imrich, P. J.; Kirchlechner, C.; Kiener, D.; Dehm, G.: In situ TEM microcompression of single and bicrystalline samples: insights and limitations. JOM-Journal of the Minerals Metals & Materials Society 67 (8), pp. 1704 - 1712 (2015)
Imrich, P. J.; Kirchlechner, C.; Kiener, D.; Dehm, G.: Internal and external stresses: in situ TEM compression of Cu bicrystals containing a twin boundary. Scripta Materialia 100, pp. 94 - 97 (2015)
Kapp, M. W.; Kapp, M. W.; Kirchlechner, C.; Pippan, R.; Dehm, G.: Importance of dislocations pile-ups on the mechanical properties and the Bauschinger effect in micro cantilevers. Journal of Materials Research 30 (6), pp. 791 - 797 (2015)
Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Can micro-scale fracture tests provide reliable fracture toughness values? A case study in silicon. Journal of Materials Research 30 (5), pp. 686 - 698 (2015)
Heinz, W.; Robl, W.; Dehm, G.: Influence of initial microstructure on thermomechanical fatigue behavior of Cu films on substrates. Microelectronic Engineering 137, pp. 5 - 10 (2015)
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
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…