Woods, E.; Aota, L. S.; Schwarz, T.; Kim, S.-H.; Douglas, J. O.; Singh, M. P.; Gault, B.: In-situ cryogenic protective layers and metal coatings in cryogenic FIB. IMC20 - 20th International Microscopy Congress - Pre-congress workshop, Cryogenic Atom Probe Tomography, Busan, South Korea (2023)
Schwarz, T.: Atom probe tomography: from water to complex liquids to the application of studying liquid-solid interfaces at the near atomic level. APT&M 23, Leuven, Belgium (2023)
Schwarz, T.; Yang, J.; Aota, L. S.; Woods, E.; Zhou, X.; Neugebauer, J.; Todorova, M.; McCaroll, I.; Gault, B.: Analysis of the reactive solid-liquid interface during the corrosion of magnesium at the near atomic level using cryo-atom probe tomography. Aqueous Corrosion Gordon Research Conference (GRC) 2024, Corrosion Challenges and Opportunities for the Energy Transition, New London, CT, USA (2024)
Schwarz, T.; Yang, J.; Aota, L. S.; Woods, E.; Zhou, X.; Neugebauer, J.; Todorova, M.; McCaroll, I.; Gault, B.: Analysis of the reactive solid-liquid interface during the corrosion of magnesium at the near atomic level using cryo-atom probe tomography. Aqueous Corrosion Gordon Research Seminar (GRS) 2024, Corrosion Monitoring, Modelling and Mitigation Towards a Sustainable Future, New London, CT, USA (2024)
Schwarz, T.; Woods, E.; Aota, L. S.; Zhou, X.; McCaroll, I.; Gault, B.: Application of cryo-atom probe tomography to study early-stage corrosion mechanism at liquid-solid interfaces at near atomic scale. EuroCorr 2023, Bruessles, Belgium (2023)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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 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…