Research

Our scientific expertise covers the synthesis, characterization, and modelling of advanced materials along the entire production chain of machine components. We strive to achieve accurate control of the chemical composition and microstructure of individually tailored structural and functional materials at all length scales during their manufacturing, engineering, and usage.

Currently our members lead eight coordinated DFG programmes:

MAPEX Research Landscape

MaterialsTechnologiesMethods
Soft and Hybrid MaterialsManufacturing Engineering CRC, RU, PPMaterials synthesis and characterization
MetalsMaterials EngineeringProcess Modelling RTG
Porous Materials RU, RTGProcess Engineering PPMaterials Modelling RTG
NanomaterialsEnergy-Related TechnologiesMaterials informatics
SemiconductorsPhotonicsSystem Integration

Research Highlights

[Translate to English:] Effect of intrinsic heat treatment o
MAPEX Research Highlights|

Effect of intrinsic heat treatment on the precipitate formation of X40CrMoV5–1 tool steel during laser-directed energy deposition: A coupled study of atom probe tomography and in situ synchrotron X-ray diffraction

Antonio Carlos de F. Silveira, Lisa T. Belkacemi, Pedro José de Castro, Marco Schowalter, Rainer Fechte-HeinenJérémy Epp

Acta Materialia 283 (2025): 120488

https://doi.org/10.1016/j.actamat.2024.120488

Additively manufactured components are generally heat treated to remove the undesired…


Synthesis_structure
MAPEX Research Highlights|

Synthesis, structural and spectroscopic characterization of defect-rich forsterite as a representative phase of Martian regolith

Muchammad Izzuddin Jundullah Hanafi, Lorenzo Bastonero, Mohammad Mangir MurshedLars RobbenWilke Dononelli, Andrea Kirsch, Nicola MarzariThorsten M. Gesing

IUCrJ 11 (2024): 977-990

https://doi.org/10.1107/S2052252524009722

Regolith draws intensive research attention because of its importance…


Role of Trapping in Non-Volatility of Electrochemical Neuromorphic Organic Devices pic
MAPEX Research Highlights|

Role of Trapping in Non-Volatility of Electrochemical Neuromorphic Organic Devices

Henrique Frulani de Paula Barbosa, Andreas Schander, Andika Asyuda, Luka Bislich, Sarah Bornemann, Bj?rn Lüssem

Advanced Electronic Materials (2024): 2400481

https://doi.org/10.1002/aelm.202400481

Artificial Neural Networks (ANN) require a better platform to reduce their energy consumption and…


All Research Highlights and Publications with participation of MAPEX PIs.

Updated by: MAPEX