Antonov, S.; Li, B.; Gault, B.; Tan, Q.: The effect of solute segregation to deformation twin boundaries on the electrical resistivity of a single-phase superalloy. Scripta Materialia 186, pp. 208 - 212 (2020)
Antonov, S.; Tan, Q.; Li, B.: Atom Probe Tomographic Investigation of the Solute Segregation to Crystal Defects in γ-phase Co–35Ni–20Cr–10Mo Superalloy. Microscopy and Microanalysis 26 (S2), pp. 3076 - 3077 (2020)
Zheng, Y.; Antonov, S.; Fraser, H. L.: Exploration of Novel Ordering Mechanism in Titanium Alloys Using Atom Probe Tomography and Aberration-corrected Scanning Transmission Electron Microscopy. Microscopy and Microanalysis 26 (S2), pp. 2078 - 2079 (2020)
Lilensten, L.; Antonov, S.; Raabe, D.; Tin, S.; Gault, B.; Kontis, P.: Deformation of Borides in Nickel-based Superalloys: a Study of Segregation at Dislocations. M & M 2019 - Microscopy & Microanalysis, Portland, OR, USA, August 04, 2019 - August 08, 2019. Microscopy and Microanalysis 25, S2 Ed., pp. 2538 - 2539 (2019)
Antonov, S.: Understanding phase transformations at boundaries and interfaces in β-Titanium alloys at the near-atomic scale. Conference on Possibilities and Limitations of Quantitative Materials Modeling and Characterization, Bernkastel-Kues, Germany (2021)
Antonov, S.: Understanding the Defect-Solute Interactions during Deformation of Superalloys. Colloquium, Oak Ridge National Laboratory, online, Oak Ridge, TN, USA (2021)
Antonov, S.: Towards Improved Superalloy Performance via Defect Engineering. Department of Mechanical Colloquium, Industrial, and Manufacturing Engineering, Oregon State University, online, Corvallis, OR, USA (2021)
Antonov, S.; Shi, R.; Li, D.; Kloenne, Z.; Zheng, Y.; Fraser, H. L.; Raabe, D.; Gault, B.: Atom Probe Tomographic Study of Precursor Metastable Phases and Their Influence on a Precipitation in the Metastable ß-titanium Alloy, Ti–5Al–5Mo–5V–3Cr. TMS 2021 Annual Meeting & Exhibition, online, Pittsburgh, PA, USA (2021)
Antonov, S.: Understanding Superalloys on the Atomic Scale. Department of Materials Science Colloquium, University of Illinois Urbana-Champaign, online, Urbana, IL, USA (2021)
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
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.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.