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)
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)
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.