Events in Dresden

Conferences / Meetings / Workshops

 

10.–11.11.2026 / Dresden
Organizer: Fraunhofer IWS

13th Workshop “Lithium-Sulfur Batteries“

Lithium-sulfur batteries are envisaged to enable energy storage devices with high specific energy at low material cost. The recent research provides significant progress in terms of materials for active and passive cell components as well as on understanding of mechanisms finally leading to improved Li-S cell performance.

 

16.11.2026 / Online
Organizer: Fraunhofer IWS

2nd International LAwave User Meeting

Fast and Non-destructive Testing with Laser Acoustics 

The 2nd International LAwave User Meeting is a virtual event that for the first time will bring together experts from the coating and material science community that are already benefitting from the LAwave technology and those who are interested in it. 

 

23.11.2026 / Dresden
Workshop / Fraunhofer IKTS

ESYMS 2026

The European School for Young Materials Scientists aims to bring together young scientists, mainly PhD students, working in the fields of Materials Science, Electronic Materials, Quantum materials, Nanoscale Materials, Nanoanalysis, Multi-scale materials characterization, Computational material science, AI-based materials science as well as Microscopy.

 

25.11.2026 / Dresden
Workshop / Fraunhofer IKTS

CMC 2026

The 6th Correlative Materials Characterization Workshop will bring together communities from Materials, Electronics, Life and Computer Science, to discuss and explore topics of common interests.

The scope of the event includes all relevant techniques used for correlative characterization. The main focus will be on Light Microscopy, Electron Microscopy, X-ray Microscopy and Atomic Force Microscopy.

 

16.–17.03.2027 / Dresden
Organizer: Fraunhofer IWS

Master Your Process – See It. Predict It. Control It.

Smart Monitoring, AI and Digital Technologies for Industrial Laser Processing

Explore laser process monitoring, prediction and control using advanced sensing, data analysis and modelling to enhance precision, stability and quality in industrial manufacturing.