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MAPEX Center for Materials and Processes

Research

Spotlights from 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

Quantitative three-dimensional local order analysis
© 2023 The Authors
MAPEX Research Highlights|

Quantitative three-dimensional local order analysis of nanomaterials through electron diffraction

Ella Mara Schmidt; Paul Benjamin Klar; Yasar Krysiak; Petr Svora; Andrew L. Goodwin; Luke Palatinus

Nature Communications 14 (2023)

doi: 10.1038/s41467-023-41934-y

Structure-property relationships in ordered materials have long been a core principle in materials design. However, the introduction…

vibration of a crystal
© J. Berges/University of Bremen
MAPEX Research Highlights|

Toward a Complete Theory of Crystal Vibrations

Jan Berges

Physics 16(2023)

doi: https://physics.aps.org/articles/v16/151

A new set of equations captures the dynamical interplay of electrons and vibrations in crystals and forms a basis for computational studies.

Although a crystal is a highly ordered structure, it is never at rest: its atoms…

conformational_ensemble
© 2023 The Author(s). Published by the Royal Society of Chemistry
MAPEX Research Highlights|

Tidying up the conformational ensemble of a disordered peptide by computational prediction of spectroscopic fingerprints

Monika Michaelis, Lorenzo Cupellini, Carl Mensch, Carole C. Perry, Massimo Delle Piane, Lucio Colombi Ciacchia

Chemical Science 14(2023)

doi: https://doi.org/10.1039/D3SC02202A

The most advanced structure prediction methods are powerless in exploring the conformational ensemble of disordered…

All Research Highlights and Publications with participation of MAPEX PIs.
Updated by: MAPEX
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