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
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…
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.