What began as an idea about a transport container for old batteries has in the meantime grown into a complete recycling service for used batteries. The start-up LiBCycle, founded at the Technical University of Munich (TUM), is committed to Circular Economy and is thus contributing to sustainable mobility.
Tracing the metabolism of tumor cells using magnetic resonance imaging (MRI) has not been feasible in routine clinical settings hitherto. Now, an interdisciplinary research team including the Technical University of Munich (TUM) is working to advance the development of a quantum-based hyperpolarizer so that it can be deployed in clinical applications. The goal is to significantly improve MRI imaging of metabolic processes – for example, to allow earlier and more accurate assessment of tumors, as well as to improve the selection and monitoring of tumor therapies.
Women are significantly underrepresented in German and French start-ups, especially in technical industries. This applies to both founders and employees, as a study from the Technical University of Munich (TUM) in collaboration with the Roland Berger Foundation for European Management now shows. In companies founded by all-female teams, the proportion of women in the workforce is almost twice as high as in male-established ventures. Start-ups launched by men also have a much higher valuation.
The Technical University of Munich (TUM) has again moved upward in the THE World University Rankings by Subject and is now among the world’s 10 best universities for computer science. It ranks 20th in engineering and 23rd in natural sciences. In several other subject groups it is among the top 50.
A science and industry consortium is working on a testing station to achieve significantly higher charging rates than have been possible in the past. This is intended to increase the electrification of heavy-load transports in the future. More robust charging points and accordingly configured vehicle components are to drastically reduce charging times for heavy-duty trucks, making electric drives more attractive to freight carriers. The project's objective is to reduce battery charging time to only 15 minutes in the future.
For the first time ever, the three most important rankings in the academic world all simultaneously rate the Technical University of Munich (TUM) as Germany's best university. TUM overtook last year's winner, Ludwig-Maximilians-Universität Munich (LMU), according to a report published Wednesday by the renowned British magazine "Times Higher Education" (THE). The QS World University Ranking and the Shanghai Ranking had already rated TUM first in Germany.
Researchers at the TUMCREATE research platform on the Singapore campus of the Technical University of Munich (TUM) have developed CityMoS – City Mobility Simulator. This concept is now supporting the city state in southern Asia in the electrification of transportation. It is also helping to calculate the impact of transportation on the heat generated in the city. CityMoS is already being deployed in Germany, where it is helping with the e transformation of a DHL Freight logistics terminal.
Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially with regard to extreme events, researchers now use machine learning methods otherwise applied to image generation.
The next milestone for the Technical University of Munich (TUM) Hyperloop research program has been achieved. The groundbreaking for the 24-meter-long TUM Hyperloop test segment took place on September 30, 2022 at the Ottobrunn/Taufkirchen site. The event was attended by Bavaria's Minister President Dr. Markus Söder and the Bavarian Minister of Science and the Arts Markus Blume. The test segment is the first of its kind in Europe.
Magnetic resonance imaging (MRI) is a sensitive method for monitoring silicone implants. However, reliable implant examination can be challenging due to the difficulties of separating silicone and fat tissue in the images. An interdisciplinary research team at the Technical University of Munich (TUM) has now developed a new algorithm that improves the quality of MR images by depicting water, fat, and silicone simultaneously in a reliable and fully automated way.
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