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)
Rohwerder, M.: Selbstheilende Beschichtungen für den Korrosionsschutz: Ein kritischer Überblick. 28. Sitzung des AK “Korrosionsschutz durch Beschichtungen”, GfKorr, Frankfurt, Germany (2014)
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.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…