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Researcher
Martin Diehl
- Disciplines:Computational materials science
Affiliations
- Numerical Analysis and Applied Mathematics (NUMA) (Division)
Member
From1 Oct 2020 → Today - Structural Composites and Alloys, Integrity and Nondestructive Testing (SCALINT) (Division)
Member
From1 Oct 2020 → Today
Projects
1 - 10 of 11
- Development of a user-friendly virtual material characterization toolboxFrom1 Mar 2024 → TodayFunding: IOF - technology validation in lab
- Multiscale Characterisation and Simulation for Hydrogen Embrittlement Assessment: Development of an Open Knowledge Platform to Foster Capability IntegrationFrom1 Jan 2024 → TodayFunding: HORIZON.2.4 - Digital, Industry and Space
- Nanoscale testing of polishing-induced surface changes in metalsFrom7 Nov 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- High-Performance Solvers for Multi-Physics Materials SimulationsFrom1 Oct 2023 → TodayFunding: BOF - projects
- Advanced modelling and characterization for power semiconductor materials and technologiesFrom1 Jan 2023 → TodayFunding: Horizon Europe - Digital, Industry and Space
- Development of Tools to Design Materials for the Hydrogen EconomyFrom20 Sep 2022 → 30 Jun 2023Funding: BOF - doctoral mandates
- Micro-structural modelling and parameter identification of glass-fibre reinforced polymers through digital volume correlation and finite element analysis.From23 Mar 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Unravelling In-Situ constituent Properties in fibre-reinforced composites: digital volume correlation applied to synchrotron computed tomography images (InSituPro)From1 Oct 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Unravelling in-situ constituent properties in fibre-reinforced composites: digital volume correlation and machine learning applied to synchrotron computed tomography imagesFrom1 Oct 2021 → TodayFunding: Fund Recuperation Fiscal Exemption, BOF - projects
- Development of micro-scale Digital Twins of metals: a Spectral Method-based Crystal Plasticity approachFrom17 Dec 2020 → TodayFunding: BOF - doctoral mandates
Publications
1 - 10 of 19
- Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization(2023)
Authors: Martin Diehl
- Application of a nanoindentation-based approach for parameter identification to a crystal plasticity model for bcc metals(2023)
Authors: Martin Diehl
- Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties(2023)
Authors: Martin Diehl
- Modeling Bainite Dual-Phase Steels: A High-Resolution Crystal Plasticity Simulation Study(2023)
Authors: Martin Diehl
- A machine learning model to predict yield surfaces from crystal simulations(2023)
Authors: Martin Diehl
- A single-domain spectral solver for spatially nonsmooth differential equations of quasistatic solid mechanics in polar coordinates(2023)
Authors: Martin Diehl
Pages: 599 - 647 - Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel(2022)
Authors: Martin Diehl
- Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates(2022)
Authors: Martin Diehl
- Modeling and simulation of microstructure in metallic systems based on multi-physics approaches(2022)
Authors: Martin Diehl
- Predicting grain boundary damage by machine learning(2022)
Authors: Martin Diehl