Berisha Bekim

• Multiskalige Materialmodellierung und Validierung auf der Grundlage von Experimenten
• Ganzfeldmessungen zur Materialcharakterisierung
• Versagensmodellierung für große plastische Verformungen
• Modellbasierte und datengesteuerte Optimierung von Fertigungsprozessen

• Data driven optimization of manufacturing processes for printed circuit boards and physics based prediction of microvia reliability (Innosuisse-Project: 105.293)
• Numerical modelling of bipolar plates for hydrogen cells (Innosuisse-Project: 49158.1)
• Production and modelling of an innovative generation of high formability and high strength Al-alloys for automotive applications (Innosuisse-Project: 26515.1)
• Enhancement of the lightweight capability of Al-alloys for complex car body structures by the application of novel functional Fusion Al-sheets (Innosuisse-Project: 13082.1)

Alle Publikatione auf Orcid

• C. Bonatti, B. Berisha & D. Mohr, From CP-​FFT to CP-​RNN: Recurrent neural network surrogate model of crystal plasticity, International Journal of Plasticity, 2022, https://doi.org/10.1016/j.ijplas.2022.103430  
• Berisha et al., Modeling of anisotropic hardening and grain size effects based on advanced numerical methods and crystal plasticity, Journal - Archives of Mechanics, 71, 489-​505, 2019, DOI: 10.24423/aom.3150
• Berisha et al., Multiscale modelling of failure initiation in a ferritic-​pearlitic steel, Acta Materialia, 100, 191-​201, 2015, https://doi.org/10.1016/j.actamat.2015.08.035

Für Details: orcid.org/0000-0002-8760-686X 

Dozent an der ETH

Aktuelle Vorlesungen:

• Optimization and Machine Learning 151-0840-00 L
• Applied Finite Element Analysis 151-0833-00L

Bisherige Vorlesungen (teilweise beteiligt):

• Material Modeling and Simulation
• Engineering Materials and Production
• Engineering Design
• Engineering Tool: Introduction to MATLAB
• Engineering Tool: FEM Programs