Kerger, P.; Rohwerder, M.; Vogel, D.: Using a Novel In-situ/Operando Chemical Cell to Investigate Surface Reactions such as the Reduction of Oxygen and Surface Oxides. AVS 63rd International Symposium & Exhibition, Nashville, TN, USA (2016)
Rohwerder, M.: Novel Approaches for Characterizing the Delamination resistance of Organic Coatings. 230th ECS Meeting-PRiME 2016, Honolulu, HI, USA (2016)
Uebel, M.; Rohwerder, M.: Conducting polymer based anticorrosion composite coatings – acceleration of the trigger signal spreading. 7th Kurt-Schwabe-Symposium 2016, Mittweida, Germany (2016)
Kerger, P.; Rohwerder, M.; Vogel, D.: Using a Novel In-situ/Operando Chemical Cell to Investigate Surface Reactions such as the Reduction of Oxygen and Surface Oxides. 11th International Symposium on Electrochemical Micro & Nanosystem Technologies (EMNT2016), Brussels, Belgium (2016)
Rohwerder, M.; Dandapani, V.: A Novel Potentiometric Approach to a Quantitative Characterization of Oxygen Reduction Kinetics at Buried Interfaces. 11th International Symposium on Electrochemical Micro & Nanosystem Technologies (EMNT2016), Brussels, Belgium (2016)
Uebel, M.; Vimalanandan, A.; Lv, L.-P.; Crespy, D.; Rohwerder, M.: Dual payload capsules for corrosion protection coatings – importance of the electronic coupling at the metal/capsules interface. 67th Annual Meeting of the International Society of Electrochemistry (ISE) 2016, The Hague, The Netherlands (2016)
Mondragon Ochoa, J. S.; Altin, A.; Rohwerder, M.; Erbe, A.: Surface Modification of Iron With Grafted Hydrophobic Acrylic Polymers and Study of Their Delamination Kinetics. Polymers and Organic Chemistry POC16, Hersonissos (Crete), Greece (2016)
Rohwerder, M.: Die Rasterkelvinsonde: neue Entwicklungen für die Charakterisierung von Korrosionsschutzbeschichtungen. 7. Korrosionsschutz-Symposium, Kloster Irsee, Germany (2016)
Rohwerder, M.: Characterization of Oxides in the Heat Affected Zone. Welding Workshop “Guidelines for use of welded stainless steel in corrosive environments” at TWI, Granta Park, Cambridge, UK (2016)
Tarzimoghadam, Z.; Rohwerder, M.; Merzlikin, S. V.; Bashir, A.; Yedra, L.; Eswara, S.; Ponge, D.; Raabe, D.: On the Role of δ phase in Hydrogen Embrittlement of Alloy 718: Multi-scale H-Mapping in a Ni–Nb Model Alloy. SINTEF and NTNU's Environmental Assisted Cracking (SNEAC) workshop, Trondheim, Norway (2016)
Wengert, A.; Swaminathan, S.; Vogel, A.; Rohwerder, M.: Internal oxidation of high strength steels during short-term annealing: Observation of unexpectedly fast progress of the internal oxidation and first tentative model. EFC Workshop High Temperature Corrosion, Frankfurt, Germany (2015)
Uebel, M.; Vimalanandan, A.; Tran, T. H.; Rohwerder, M.: Coatings for intelligent self-healing of macroscopic defects: first results and the major challenges. eMRS, Symposium „Self-Healing Materials", Warsaw, Poland (2015)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
“Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The precipitation of intermetallic phases from a supersaturated Co(Nb) solid solution is studied in a cooperation with the Hokkaido University of Science, Sapporo.
This project (B06) is part of the SFB 1394 collaborative research centre (CRC), focused on structural and atomic complexity, defect phases and how they are related to material properties. The project started in January 2020 and has three important work packages: (i) fracture analysis of intermetallic phases, (ii) the relationship of fracture to…
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.