The Lab Dresden Centre for Intelligent Materials is focused on novel materials and structures
which, as a central component of intelligent systems, feel, think and act autonomously through
integrated sensory and actuator functionalities. Besides the individual research groups of the DCIM members,
there are two research groups:
The research group
Materials Informatics is concerned with data-driven approaches for the
description
and integration of novel tailor-made materials. Modern materials research requires an
integrative
and multidisciplinary approach, which increasingly relies on methods from mathematics and
computer
science in addition to traditional approaches from chemistry, physics and engineering. In
particular, machine learning and the evaluation of "big data" are essential for tomorrow's
materials
research and related engineering sciences. The development of strategies for materials discovery
and
development are therefore the focus of Materials Informatics.
Structures with material-inherent control functions
The research group Hierarchical Topologies deals with new concepts and methods for the
creation of novel topologies.
Based on complex hierarchical structures, we use existing material-based effects for
intelligent systems with controllable and adjustable properties.
The functionality on system level is based on the complex interaction of
material-inherent and topology-inherent effects.
The work aims at: complex functions, such as actively controllable deformations as well as
function integration of advanced properties, e.g. magnetic permeability, electrical
conductivity
or radiation transparency.