Saksena, A.; Sun, B.; Dong, X.; Khanchandani, H.; Ponge, D.; Gault, B.: Optimizing site-specific specimen preparation for atom probe tomography by using hydrogen for visualizing radiation-induced damage. International Journal of Hydrogen Energy 50 (Part A), pp. 165 - 174 (2024)
Jacob, K.; Khanchandani, H.; Dixit, S.; Jaya, B. N.: Suppression of Reverted Austenite in Cold-Rolled Maraging Steels and Its Impact on Mechanical Properties. Metallurgical and Materials Transactions A 54 (12), pp. 4976 - 4993 (2023)
Khanchandani, H.; Gault, B.: Atomic scale understanding of the role of hydrogen and oxygen segregation in the embrittlement of grain boundaries in a twinning induced plasticity steel. Scripta Materialia 234, 115593 (2023)
Khanchandani, H.; Stephenson, L.; Raabe, D.; Zaefferer, S.; Gault, B.: Hydrogen/Deuterium Charging Methods for the Investigation of Site-Specific Microstructural Features by Atom Probe Tomography. Microscopy and Microanalysis 28 (S1), p. 1664 (2022)
El-Zoka, A.; Kim, S.-H.; Khanchandani, H.; Stephenson, L.; Gault, B.: Advances in Cryo-Atom Probe Tomography Studies on Formation of Nanoporous Metals by Dealloying (Digital Presentation). In ECS Meeting Abstracts, MA2022-01 (47), p. 1983. The Electrochemical Society (2022)
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.
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.