Fundamentals of Energy Conversion Processes

 

A DFG Cluster of Excellence

News

Machine learning for improved fuel cell catalysts

May 1, 2020|

Platinum is the common catalyst material for the oxygen reduction in fuel cells and its main cost factor. With a machine learning technique, scientists from e-conversion now can forecast and optimize the performance of catalysts with less platinum.

On the way to new materials for energy conversion

Apr 6, 2020|

Three new Hans Fischer Senior Fellows will be joining our community for the next three years: Laura Herz, Ib Chorkendorff and Natalia Shustova will be working on the creation of new materials for energy conversion and on understanding the associated energy conversion processes.

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Events

e-conversion Conference 2020
from to
Cancelled
We are proud to announce the second international e-conversion conference to be held at the TUM Science & Study Center Raitenhaslach, Germany from September 8 – 11, 2020.
11th biannual International Conference on Quantum Dots
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Scheduled
SHIFTED TO DECEMBER! It is our great pleasure to announce QD-2020, the 11th biannual International Conference on Quantum Dots. 

Recent Publications

P Alexa, J M Lombardi, P Abufager, H F Busnengo, D Grumelli, V S Vyas, F Haase, B V Lotsch, R Gutzler, K Kern

Enhancing Hydrogen Evolution Activity of Au(111) in Alkaline Media through Molecular Engineering of a 2D Polymer Journal Article

In: Angewandte Chemie International Edition, n/a (n/a), 2020, ISSN: 1433-7851.

Abstract | Links

S S Matikonda, G Hammersley, N Kumari, L Grabenhorst, V Glembockyte, P Tinnefeld, J Ivanic, M Levitus, M J Schnermann

Impact of Cyanine Conformational Restraint in the Near-Infrared Range Journal Article

In: The Journal of Organic Chemistry, 2020, ISSN: 0022-3263.

Links

P Mao, C Liu, F Song, M Han, S A Maier, S Zhang

Manipulating disordered plasmonic systems by external cavity with transition from broadband absorption to reconfigurable reflection Journal Article

In: Nature Communications, 11 (1), pp. 1538, 2020, ISSN: 2041-1723.

Abstract | Links