Vimalanandan, A.; Lv, L. P.; Zhao, Y.; Landfester, K.; Crespy, D.; Rohwerder, M.: Active corrosion protection coatings based on potential triggered release systems. EUROCORR 2013, the European Corrosion Congress, “For a blue sky”, Estoril, Portugal (2013)
Krieg, R.; Vimalanandan, A.; Rohwerder, M.; Theirry, D.; Le Bozec, N.: Corrosion Performance of Zinc Magnesium Aluminium Coated steel: Discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Electrochemistry of metal surfaces under nanoscopic electrolyte layers. 112th Bunsentagung (Annual German Conference on Physical Chemistry), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2013)
Rohwerder, M.: Corrosion Performance of Zinc Magnesium Aluminium Alloy Coated Steel: discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Neuartige intelligent selbstheilende Korrosionsschutzsysteme. 5. Korrosions-schutz-Symposium, Korrosionsschutz durch Beschichtungen in Theorie und Praxis, Kloster Banz, Germany (2013)
Merzlikin, S. V.; Rohwerder, M.: Detection of Local Hydrogen Distribution by SIMS. Possibility of the Electrochemical SIMS Calibration for Quantification of Hydrogen in Metallic Matrix. International Symposium on Metal-Hydrogen Systems 2012 (MH2012) , Kyoto, Japan (2012)
Salgin, B.; Rohwerder, M.: Ion Mobility Studies on Al2O3 Surfaces. 63rd Annual Meeting of the International Meeting of the International Society of Electrochemistry, Prague, Czech Republic (2012)
Salgin, B.; Rohwerder, M.: Mobility of water and charge carriers in polymer/oxide/aluminium alloy interphases. M2i-DPI Project Meeting at AkzoNobel, Sassenheim, The Netherlands (2012)
Rohwerder, M.: Selbstheilende Beschichtungen für einen intelligenten Korrosionsschutz. FARBE UND LACK Konferenz: Neue Konzepte für Korrosionsschutzbeschichtungen, Stuttgart, Germany (2012)
Rohwerder, M.: High-sensitive and locally resolved hydrogen detection in metals by scanning Kelvin probe technique. NIMS conference, Tsukuba, Japan (2012)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
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.
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…