Technical University of Munich (TUM)
Technische Universität München (TUM)

Germany

The Technical University of Munich (TUM) is one of Europe’s leading universities in science and technology, and one of Germany’s Universities of Excellence. With our research agenda “human-centered engineering“ we put people and their lives at the heart of our scientific endeavours – whether we are investigating the origins of life, matter and the universe, or looking for solutions to the major challenges for our society.

Research news

Latest top-level research from a broad range of subjects that is unparalleled in continental Europe: www.tum.de/news

Top ranking results

International rankings regularly place TUM among the top universities in Germany and in Europe. Rankings

Our agenda: Human-centered research and innovation

We are seeking to understand the essential foundations of life, to maintain health and target diseases, and to shape a sustainable living enviroment. We are creating new materials and advanced manufacturing technologies, we are pioneering the digital transformation for a secure future – and are above all committed to responsible research and innovation in service of society.
www.tum.de/research

Join us: Research careers, graduate studies and more

Talent is the key to our success. Join us as professor, postdoc, or for your graduate studies (PhD or master‘s level; no tuition fees) in a vibrant academic community.

Technical University of Munich (TUM) retains sole responsibility for content © 2020Technical University of Munich (TUM).

Portrait: Technical University of Munich – 150 Years culture of excellence

1 July 2019 - 30 June 2020

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Technical University of Munich (TUM) published between 1 July 2019 - 30 June 2020 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

Count Share
599 167.35

Outputs by subject (Share)

Subject Count Share
Physical Sciences 261 59.23
2 0.26
10 2.08
3 1.92
13 3.99
27 8.17
55 19.11
1 0.04
5 0.95
6 0.27
24 5.02
2 0.05
5 0.52
2 0.05
17 3.62
7 0.15
57 9.41
7 1.62
4 1.04
5 0.60
4 0.19
5 0.15
Life Sciences 226 42.35
Chemistry 147 68.73
Earth & Environmental Sciences 28 7.80

Highlight of the month

Light option for machine learning

© Berkah/Getty

© Berkah/Getty

Highly efficient solar cells optimized for harvesting ambient light in indoor environments could power a smart Internet of Things (IoT) network.

A team that included Technical University of Munich scientists has developed cells that capture energy from fluorescence lights with efficiencies of up to 34%. They achieved this by developing a dye-sensitized photovoltaic cell tailor made for harvesting the wavelengths of light available indoors and by suppressing energy losses from electron-back transfer in the cell.

The cells could capture enough energy to power autonomous IoT devices with artificial-intelligence capabilities. A wireless network of these IoT devices could use intermittently available ambient light to power an artificial neural network that demonstrated machine learning, a type of computation usually carried out on large servers.

Photovoltaic cells attuned to capturing ambient light could power a new generation of smart IoT devices, the researchers conclude.

Supported content

  1. Chemical Science 11, 2895–2906 (2020). doi: 10.1039/c9sc06145b

View the article on the Nature Index

See more research highlights from Technical University of Munich (TUM)

More research highlights from Technical University of Munich (TUM)

1 July 2019 - 30 June 2020

International vs. domestic collaboration by Share

  • 39.69% Domestic
  • 60.31% International

Note: Hover over the graph to view the percentage of collaboration.

Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.

Affiliated joint institutions and consortia

Return to institution outputs