Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Stacking Fault Properties in FeMn Alloys. Asia Steel Conference 2009, Busan, South Korea (2009)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. DPG Spring Meeting 2009, Dresden, Germany (2009)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Mechanical Properties of FeMn-Alloys. Workshop des SFB761, Beilngries, Germany (2008)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of bcc iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of bcc iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. International Workshop on Ab initio Description of Iron and Steel (ADIS2008), Ringberg Castle, Germany (2008)
Dick, A.; Neugebauer, J.: Ab initio STM and STS simulations on magnetic and nonmagnetic metallic surfaces. Computational Materials Science Workshop, Goslar, Germany (2007)
Abu-Farsakh, H.; Dick, A.; Neugebauer, J.: Incorporation of N at GaAs and InAs surfaces. Deutsche Physikalische Gesellschaft Spring Meeting of the Division Condensed Matter, Dresden, Germany (2006)
Dick, A.; Neugebauer, J.: Probing of bulk band edges by STM: An ab initio analysis. Deutsche Physikalische Gesellschaft - Spring Meeting of the Division Condensed Matter, Dresden, Germany (2006)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: Integrating finite temperature magnetism into ab initio free energy calculations. Calphad XL, Rio de Janeiro, Brazil (2011)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: Integrating finite temperature magnetism into ab initio free energy calculations. TMS 2011 Annual Meeting, San Diego, CA, USA (2011)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Martensite formation in dilute Fe-based solid solutions: Ab initio based multi-scale approach. Ab initio Description of Iron and Steel: Mechanical properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…