Microstructure And Mechanical Properties Of Additively Manufactured Pearl® Micro AD730®. World PM 2022 Congress and Exhibition, Code 188680, Lyon, France, 09. Oktober 2022 - 13. Oktober 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, 04. August 2019 - 08. August 2019. Microscopy and Microanalysis 25, S2 Aufl., S. 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)
Wissenschaftler des Max-Planck-Instituts für Eisenforschung entwickeln ein neues maschinelles Lernmodell für korrosionsresistente Legierungen. Und veröffentlichen ihre Ergebnisse in der Fachzeitschrift Science Advances
Düsseldorfer Max-Planck-Wissenschaftler diskutieren den Einsatz künstlicher Intelligenz in der Materialwissenschaft und veröffentlichen Review-Artikel in der Fachzeitschrift Nature Computational Science