Yoo, S.-H.; Aota, L. S.; Shin, S.; El-Zoka, A. A.; Kang, P. W.; Lee, Y.; Lee, H.; Kim, S.-H.; Gault, B.: Dopant Evolution in Electrocatalysts after Hydrogen Oxidation Reaction in an Alkaline Environment. ACS Energy Letters 8 (8), pp. 3381 - 3386 (2023)
Aota, L. S.; Jung, C.; Zhang, S.; Kim, S.-H.; Gault, B.: Revealing Compositional Evolution of PdAu Electrocatalyst by Atom Probe Tomography. ACS Energy Letters 8 (6), pp. 2824 - 2830 (2023)
Harada, A. T.; Zanni, E. G. S.; Aota, L. S.; Zilnyk, K. D.; Lima, M. S. F.; Abdalla, A. J.: Mechanical Properties of Laser Beam Welded Dissimilar High Strength Steels: 300M and DP 780. Materials Research-Ibero-American Journal of Materials 26 (1), e20230089 (2023)
Mota, C. F. G. S.; Aota, L. S.; Sandim, H. R. Z.; Zilnyk, K. D.; Sandim, M. J. R.: Austenite reversion in lean duplex steel: Microstructural, dilatometric and magnetic characterization. Materials Characterization 195, 112509 (2023)
Singh, M. P.; Woods, E.; Kim, S.-H.; Jung, C.; Aota, L. S.; Gault, B.: Facilitating the Systematic Nanoscale Study of Battery Materials by Atom Probe Tomography through in-situ Metal Coating. Batteries & Supercaps 7 (2), e202300403 (2023)
Aota, L. S.; Souza Filho, I. R.; Roscher, M.; Ponge, D.; Sandim, H. R. Z.: Strain hardening engineering via grain size control in laser powder-bed fusion. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 838, 142773 (2022)
Pinto, F. C.; Aota, L. S.; Souza Filho, I. R.; Raabe, D.; Sandim, H. R. Z.: Recrystallization in non-conventional microstructures of 316L stainless steel produced via laser powder-bed fusion: effect of particle coarsening kinetics. Journal of Materials Science 57, pp. 9576 - 9598 (2022)
Aota, L. S.; Bajaj, P.; Zilnyk, K. D.; Ponge, D.; Zschommler Sandim, H. R.: The origin of abnormal grain growth upon thermomechanical processing of laser powder-bed fusion alloys. Materialia 20, 101243 (2021)
Aota, L. S.; Bajaj, P.; Sandim, H. R. Z.; Jägle, E. A.: Laser Powder-Bed Fusion as an Alloy Development Tool: Parameter Selection for In-Situ Alloying Using Elemental Powders. Materials 13 (18), 3922 (2020)
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)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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.