Martin Diehl

Martin Diehl is a computational materials scientist affiliated with KU Leuven (Departments of Computer Science and Materials Engineering) and the Max-Planck-Institut für Eisenforschung GmbH in Germany. His work focuses on crystal plasticity simulations, computational materials engineering, and multi-physics modeling of metallic systems.

Research interests include:

• Crystal plasticity finite element method (CPFEM) and spectral solvers
• Microstructure evolution and damage mechanics
• Machine learning applications in materials design
• Development of the DAMASK simulation toolkit
• Multi-phase steel alloys and heterogeneous deformation
• Integrated computational materials engineering (ICME)

Key trends in his publications since 2021 highlight advancements in:

• Multi-physics DAMASK framework for coupled chemo-mechanical and thermal simulations
• AI-driven inverse design of steel microstructures
• Damage modeling in dual-phase steels
• Collaborative software development for materials science
• Experimental-simulation integration for stress-strain partitioning
• High-resolution spectral methods for finite strain analysis

He actively collaborates with institutions like Harbin Institute of Technology, University of Oxford, and research groups across Europe and Asia.