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Handling the impact of Corona/COVID-19 regulations for research projects

Funding Organisations have issued regulations in order to enable their funded projects to continue in an efficient manner. For up-to-date information please click here.

The Reserach Service Division will keep you up to date continually. If you have any new information or experiences pertaining to the situation, please send a message to fut@tu-ilmenau.de. Thank you!

Internal university regulationsr:
https://www.tu-ilmenau.de/universitaet/corona-virus/informationen-fuer-beschaeftigte/

 

 

Research News

  • 17.02.2021 Bipedal walking design for energy-optimal locomotion in varying environments

    Energy-efficient locomotion is an important requirement in the development of biped robots. Due to the limited energy storage (battery), the energy consumption significantly determines the walking distance to be covered. The energy efficiency depends on the controller used for the motion as well as on the structural design and mechanical parameters of the walking system. In this case, the solution approach is the application of special compliant functional systems that, depending on the environmental conditions and the gait, achieve an always advantageous matching of mechanical system elements, resulting in high energy efficiency. Thus, researchers teach bipedal walkers to move in a highly energy-efficient manner in different situations and across gaits.

  • 28.01.2021 Machine learning of turbulent flows DeepTurb – Deep Learning in and from Turbulence

    The application of machine learning and artificial intelligence to experimental measurements and numerical simulations of turbulent flows opens unique possibilities to process and classify complex data in new ways leading to a deeper fundamental understanding of turbulent fluid motion for a more efficient modeling. In this project, funded by the Carl Zeiss Foundation for a period of 5 years, the dynamics of characteristic fluid structures will be extracted from comprehensive data records of horizontally extended thermal convection flows by means of artificial intelligence.

  • 03.12.2020 MemWerk – memristive materials for neuromorphic electronics –

    The steady progress of digitalization and the increasingly extensive use of artificial intelligence change our society, technologies and science in an entirely new way. However, this development is characterized by an ever increasing energy demand contributing significantly to the rise in CO2 emissions. Therefore, the energy consumption of our IT world turns out to be an ever more limiting factor of the Digital Revolution and an immense burden on our climate. Current technologies can hardly solve this issue and new innovative approaches are required. Here, a promising approach is neuromorphic electronics, in ...

  • 07.09.2020 Engineering for Smart Manufacturing (E4SM): Engineering of assistance systems based on machine learning for data-intensive industrial scenarios

    A basic idea of Industry 4.0 is to utilize data of all areas of a production process in an integrated way. The acquired extensive data enables completely new applications for machine learning and artificial intelligence techniques, which can be utilized to achieve considerable increases in efficiency by using assistance systems.

  • 16.07.2020 Electric voltage from quantum mechanical electron spin - battery of the future?

    Spintronics as a rapidly thriving branch of nanoelectronics deals with the intrinsic angular momentum of electrons - their electron spin (in short spin) – that can give rise to a variety of novel and fascinating phenomena. We all already unknowingly use the results of this subfield of modern physics with the latest generation of memories installed in our laptops and mobile phones. Indeed, today's density of data would be impossible to handle without the giant magnetoresistance discovered by Peter Grünberg (awarded the Nobel Prize in Physics in 2007) - a phenomenon based on a collective dynamic of electron spins.

  • 31.03.2020 Subnanometer measuring method of highest precision with ten decades measuring range

    "Three orders of magnitude create a new science" - this is how particle physicist Murray Gell-Mann, the discoverer of quarks, describes what awaits researchers on their journey into the world of the very smallest. And the world of the very smallest, for nanoscientists, is the realm of molecules and atoms. Their size is a fraction of a nanometer - the atomic lattice distance of car-bon is 0.246 nm. This corresponds to the 1/300 000 of a hair diameter. In the field of nanotech-nologies, it is preparing to produce semiconductor structures with almost atomic dimensions on wafers hundreds of millimeters in diameter. This naturally requires measuring instruments of the highest precision.

  • 31.01.2020 VideoLeB

    A strong heterogeneity of school students and inclusive learning settings place growing demands on the professional profile of teachers. In many teacher training courses, intensive preparation for these challenges is currently still a neglected activity. Rather, the principle of "learning by doing" seems to be common practice. As early as 2000, Mandl and Gerstenmaier pointed out a significant "gap between knowledge and action" in university education (Gerstenmaier & Mandl 2000, p. 1). In addition, Hof (2000) were able to show that teachers at the beginning of their careers tend to use intuitive knowledge and subjective theories as a basis for action rather than evidence-based and theoretically sound knowledge. However, the lack of practical relevance and the increased recourse to subjective theories and intuitive knowledge is counterproductive for preparing for today's everyday school li

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