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![]() by Staff Writers Nuremberg, Germany (SPX) Jan 11, 2019
Researchers at Friedrich-Alexander-Universitat Erlangen-Nurnberg (FAU) have developed a simple yet accurate method for finding defects in the latest generation of silicon carbide transistors. This will speed up the process of developing more energy-efficient transistors in future. They have now published their findings in the renowned journal Communications Physics.* Boosting the efficiency of power electronic devices is one way to save energy in our highly technological world. It is these components which ensure that power from photovoltaic or wind power stations are fed into the grid, the traction units of trains are supplied with current from the overhead line, and energy is transferred from batteries to the engine in electric and hybrid vehicles. At the same time, however, these components should ideally use as little electricity as possible. If not, heat is generated unnecessarily, additional complex cooling systems are needed and energy is wasted as a result. This is where components made of silicon, the standard semiconductor material, reach their limits on the basis of their intrinsic material properties. There is, however, a much more suitable alternative: silicon carbide, or SiC for short, a compound made of silicon and carbon. Its properties speak for themselves: it withstands high voltages, works even at high temperatures, is chemically robust and is able to work at high switching frequencies, which enables even better energy efficiency. SiC components have been used very successfully for several years now.
Investigating charge trapping It is this interface, however, which poses a significant challenge for researchers: during fabrication, undesired defects are created at the interface which trap charge carriers and reduce the electrical current in the device. Research into these defects is therefore of paramount importance if we are to make full use of the potential offered by the material.
Pattern discovered This is the reason why researchers at the Chair of Applied Physics at FAU decided to focus on finding new, improved methods for investigating interface defects - and they were successful. They noticed that the interface defects always follow the same pattern. 'We translated this pattern into a mathematical formula,' explains doctoral candidate Martin Hauck. 'Using the formula gives us a clever way of taking interface defects into account in our calculations. This doesn't only give us very precise values for typical device parameters like electron mobility or threshold voltage, it also lets us determine the distribution and density of interface defects almost on the side. In experiments conducted using transistors specially designed for the purpose by the researchers' industrial partners Infineon Technologies Austria AG and its subsidiary Kompetenzzentrum fur Automobil- and Industrie-Elektronik GmbH, the extremely simple method also proved to be highly accurate. Taking a close look at the inner core of the field-effect transistors allows now for improved and shorter innovation cycles. Using this method, processes aimed at reducing defects can be evaluated accurately, quickly and simply, and work at developing new, more energy-saving power electronics can be accelerated accordingly.
![]() ![]() Machine learning and quantum mechanics team up to understand water at the atomic level Berne, Switzerland (SPX) Jan 08, 2019 The building blocks of most observable matters are electrons and nuclei. Following the laws of quantum mechanics, their behavior can be described in terms of their wave function, sort of a diffuse cloud that is related to the probability of observing them in a given point and time. By solving the Schrodinger equation, it is possible to make models and predictions of any material, including water. But there is a catch. As the number of electrons and nuclei increases, the complexity involved soon be ... read more
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