Nanomaterials by Information-Guided Design
Dominated by surfaces and interfaces, nanomaterials often display surprising physical, electronic, or mechanical properties.
At the INT we not only produce nanomaterials and explore their properties, but also develop techniques for influencing their properties. This is done through external stimulus after the materials are produced and deposited, tremendously extending their functionality. We also work on the development and understanding of catalysts based on metallic nanoparticles.
We work on the development of AI and machine learning methods with focus on the application to materials science questions.
Pascal Friederich
Understanding the mechanical properties of nano-crystalline materials and nano-glasses using atomistic simulations.
Peter Gumbsch
Exploring the link between atomic scale structure in model systems to micron-sized 3D structure of support materials
A novel class of non-crystalline materials with controllable atomic/electronic structures corresponding to the structures of modern technologically utilized crystalline materials
Magnetoelectric effects using charged interfaces in nanocomposites
Explaining unusual deformation behavior and developing enhanced mechanical properties
Production and characterization of cluster-based materials and particle-wave duality of clusters of increasing size
High-end electron microscopy techniques to correlate nanoscale and atomic structure with nanomaterial properties
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Correlating size-dependent structural evolution with physical and chemical properties
Preparing atomically precise 2D nanocarbon materials on bulk scale through self-organization and processes for growth, fractionation and nanostructuring
Simulation approaches for de-novo characterization and optimization and developing device properties with nanoscale constituents.
Modeling structures and functions of graphene, graphite and CNT for applications in electronics and data storage
Nanodots to nanopores, smart design and remote control of nanomaterial properties
Polymer-blend lithography to produce patterned self-assembled monolayers on solid substrates featuring various functionalities
Correlations between synthesis, interface and bulk properties and macroscopic functional and structural properties