- The Metallurgy of Additive Manufacturing: Potentials and Challenges towards Industrialisation. IOP Conference Series: Materials Science and Engineering 1310 (1), 2024, 012009 more…
- Prediction of material toughness using ensemble learning and data augmentation. Philosophical Magazine Letters 104 (1), 2024 more…
- Wire arc additive manufacturing of light metals: From experimental investigation to numerical process simulation and microstructural modeling – 12. In: Quality Analysis of Additively Manufactured Metals. Elsevier, 2023, 487-546 more…
- High-Throughput Simulations of Phase Precipitation in Additively Manufactured Al Alloy. Key Engineering Materials 964, 2023, 129-134 more…
- Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology. Genetic Programming and Evolvable Machines 24 (2), 2023 more…
- CAROUSEL: An Open-Source Framework for High-Throughput Microstructure Simulations. Integrating Materials and Manufacturing Innovation, 2023 more…
- Extending a physics-based constitutive model using genetic programming. Applications in Engineering Science 9, 2022, 100080 more…
- Viscoplastic Self-Consistent (VPSC) Modeling for Predicting the Deformation Behavior of Commercial EN AW-7075-T651 Aluminum Alloy. Key Engineering Materials 926 (Vol. 926), 2022, 2109-2118 more…
- Influence of Solidification-Dependent Microstructure on Subsequent Metal Forming Operations. 13th European LS-DYNA Conference 2021, 2021Ulm, Germany more…
Group leader Materials Computation
Adress: Freisinger Landstraße 52.
85748, Garching bei München
Germany.
E-Mail: evgeniya.kabliman(at)tum.de
Tel.: +49 (0) 89 289 - 55332
Fax: +49 (0) 89 289 - 55342
Raum: B1.2.21
Curriculum Vitae
since 04/ 2021 | Group leader Materials Computation at TU München |
2012-2021 | (Senior) Scientist, Light Metals Technologies Ranshofen, Austrian Institute of Technology |
2008-2011 | Doctor of Technical Sciences (Dr. tech.), TU Wien |
2006-2008 | Master of Science, Applied Physics and Mathematics, South Ural State University |
2002-2006 | Bachelor of Science, Applied Physics and Mathematics, South Ural State University |
Research focus
- Simulation-supported technology development
- Thermo-mechanical processing of metals
- Microstructure evolution and related phenomena
- Physics-based modelling across the length scale
-
Application of machine learning in materials modelling