Schmitt, M.; Spiegel, M.: High Temperature Corrosion: Corrosion process of stainless steels and nickel base alloys under BtE and WtE conditions. International Conference on Waste and Biomass Combustion, Michelangelo Hotel Milano, Italy (2008)
Schmitt, M.; Spiegel, M.: Interim report on corrosion data: Dependence on variation of chemical environment. NextGenBioWaste, 2nd Progress Meeting 2008, Schiphol Airport Amsterdam, The Netherlands (2008)
Schmitt, M.; Spiegel, M.: Contribution to the analysis of the corrosion process of metallic materials in incineration plants. EUROCORR 2008, EICC Edinburgh, UK (2008)
Schmitt, M.; Spiegel, M.: High Temperature Corrosion: Corrosion mechanism of candidate materials in lab-scale incineration environments. General Assembly NextGenBioWaste 2008, De Zwijger Amsterdam, The Netherlands (2008)
Schmitt, M.; Spiegel, M.: Corrosion and fouling data of candidate materials for WtE components: Part II. NextGenBioWaste, 1st Progress Meeting 2008, Schiphol Airport Amsterdam, The Netherlands (2008)
Schmitt, M.; Spiegel, M.: Corrosion and fouling data of candidate materials for WtE components: Part I. NextGenBioWaste, 2nd Progress Meeting 2007, Schiphol Airport Amsterdam, The Netherlands (2007)
Schmitt, M.; Spiegel, M.: Introduction to the Working Group NGBW. NextGenBioWaste, 1st Progress Meeting 2007, Schiphol Airport Amsterdam, The Netherlands (2007)
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…