Microstructure And Mechanical Properties Of Additively Manufactured Pearl® Micro AD730®. World PM 2022 Congress and Exhibition, Code 188680, Lyon, France, October 09, 2022 - October 13, 2022. (2022)
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)
Antonov, S.: Overview of the Damage Accumulation Mechanisms During Non-isothermal Creep of Ni-based superalloys. Seminar, Exponent, online, Atlanta, GA, USA (2020)
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
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.
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…