International DCIM Summer School 2022: Dimensions of Intelligence in Materials

Cover
Start: 22 Aug 2022 | End: 25 Aug 2022
Organized by: G. Cuniberti, A. Ehrenhofer, L. Baraban, E. Covi, M. Salvalaglio, A. Filippatos, G. Tsortsinis

Innovative materials are one of the key technologies for keeping products and industrial processes economically competitive and ecologically sustainable. Modern materials science requires a multi-discipline approach embracing chemistry, physics, engineering, as well as data science.

The DRESDEN-concept Summer School Dimensions of Intelligence in Materials 2022, held from 22.08. to 25.08. in Dresden, showed the different aspects of materials that are called "intelligent": These materials may be performing intrinsic computations, they may self-assemble, they may, for example, have sensor and actuator capabilities, or they may be parts of larger systems to enhance functionality.

We approached the subject starting from the lab-scale and the fabrication approaches for intelligent materials. Then, we showed how simulation, modeling and design can help to bridge the gap to applications. Finally, we looked at the application scale and how we can integrate intelligent materials into working systems.


Share

International DCIM Summer School 2022: Dimensions of Intelligence in Materials

Cover
Start: 22 Aug 2022 | End: 25 Aug 2022
Organized by: G. Cuniberti, A. Ehrenhofer, L. Baraban, E. Covi, M. Salvalaglio, A. Filippatos, G. Tsortsinis

Innovative materials are one of the key technologies for keeping products and industrial processes economically competitive and ecologically sustainable. Modern materials science requires a multi-discipline approach embracing chemistry, physics, engineering, as well as data science.

The DRESDEN-concept Summer School Dimensions of Intelligence in Materials 2022, held from 22.08. to 25.08. in Dresden, showed the different aspects of materials that are called "intelligent": These materials may be performing intrinsic computations, they may self-assemble, they may, for example, have sensor and actuator capabilities, or they may be parts of larger systems to enhance functionality.

We approached the subject starting from the lab-scale and the fabrication approaches for intelligent materials. Then, we showed how simulation, modeling and design can help to bridge the gap to applications. Finally, we looked at the application scale and how we can integrate intelligent materials into working systems.


Share