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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Magnetic materials enable the electrification of transport, communication, energy, and manufacturing. They serve for instance as hard magnets in electrical motors or as soft magnets in transformers. Their remanence, coercivity, and hysteresis losses determine the efficiency of devices that are urgently needed for enabling society and economy to use…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
It is very challenging to simulate within DFT extreme electric fields (a few 1010 V/m) at a surface, e.g. for studying field evaporation, the key mechanism in atom probe tomography (APT). We have developed a straight-forward scheme to incorporate an ideal plate counter-electrode in a nominally charged repeated-slab calculation by means of a generalized dipole correction of the standard electrostatic potential obtained from fully periodic FFT.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…