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.

Logo of AIMat groupPascal Friederich, KIT
AI for Materials Sciences

We work on the development of AI and machine learning methods with focus on the application to materials science questions.

Pascal Friederich
Fracture of a model metal

Understanding the mechanical properties of nano-crystalline materials and nano-glasses using atomistic simulations.

Peter Gumbsch
Cross sectional slices derived from electron tomography showing a) preformed Au(PVA) particles exclusively situated on the outer surface of N-CNF and b) Au particles prepared by impregnation situated on both inner- and outer-surfaces of N-CNF.

Exploring the link between atomic scale structure in model systems to micron-sized 3D structure of support materials

Christian Kübel

structure of a nanoglass (two-dimensional model)

A novel class of non-crystalline materials with controllable atomic/electronic structures corresponding to the structures of modern technologically utilized crystalline materials

Herbert Gleiter

Horst Hahn

dielectric gating
Tunable Properties of Nanomaterials

Magnetoelectric effects using charged interfaces in nanocomposites

Robert Kruk

Horst Hahn

Mechanical properties of nanocrystalline carbon steels under static and cyclic load
Mechanical synthesis and mechanical properties of nanomaterials

Explaining unusual deformation behavior and developing enhanced mechanical properties

Julia Invanisenko

Horst Hahn

Poisson Spot Experiment
Clusters and Cluster-based Materials

Production and characterization of cluster-based materials and particle-wave duality of clusters of increasing size

Thomas Reisinger

Horst Hahn

structure and processes in nanomaterials
Structure and processes in nanomaterials

High-end electron microscopy techniques to correlate nanoscale and atomic structure with nanomaterial properties

Christian Kübel

gold cluster ions
Structure and Reactivity of Isolated Metal Clusters

Correlating size-dependent structural evolution with physical and chemical properties

Detlef Schooss

Manfred Kappes

Surface-Confined C-C Couplings – 2D Graphdiynes
Supramolecular Materials

Preparing atomically precise 2D nanocarbon materials on bulk scale through self-organization and processes for growth, fractionation and nanostructuring

Svetlana Klyatskaya

Mario Ruben

Golden Beauty
Multiscale Materials Modeling

Simulation approaches for de-novo characterization and optimization and developing device properties with nanoscale constituents.

Wolfgang Wenzel

Spin-Crossover and Massive Anisotropy Switching of 5d Transition Metal Atoms on Graphene Nanoflakes
Modeling of Carbon-Based Nanostructures

Modeling structures and functions of graphene, graphite and CNT for applications in electronics and data storage

Wolfgang Wenzel

Mesoporous Cartoon
Responsive Nanomaterials for Biomedicine and Electronics

Nanodots to nanopores, smart design and remote control of nanomaterial properties

Luisa De Cola

 Polymer blend lithography: A versatile method to fabricate nanopatterned self-assembled monolayers
(Bio)Functional Nanostructured Surfaces

Polymer-blend lithography to produce patterned self-assembled monolayers on solid substrates featuring various functionalities

Stefan Walheim

Thomas Schimmel

Crystallographic structure of Li7La3Zr2O12, a potential solid electrolyte for lithium ion batteries.
Joint Laboratory for Nanomaterials

Correlations between synthesis, interface and bulk properties and macroscopic functional and structural properties

Horst Hahn