Tagged: Computational Electronics Group
Professor Bellotti Receives Two New Grants to Develop Vertical Power Electronic Devices and Heterogeneous Computer Architectures
The Computational Electronics Group led by Professor Enrico Bellotti (ECE, MSE) has been awarded funding for two new programs to study novel power electronic devices based on III-Nitride semiconductors and to develop and evaluate heterogeneous computer architectures to simulate advanced materials and devices.
The new grant from the National Science Foundation will provide Prof. Bellotti with $336,000 over a period of three years to establish the theoretical foundation of vertical power switches based on III-Nitride semiconductors. If successfully developed, the power switches proposed in this program may lead to a number of breakthroughs in the areas of energy conversion that may profoundly change how and to what extent energy is consumed by society. First of all, these devices will aid in the implementation of the smart grid concept, delivering an unprecedented quality of service to the utilities’ customers while reducing transmission losses and increasing the capacity of these systems for wind and solar sources. In the area of transportation systems, they will enable the cost and size effective design of electric drives, not only for cars, but also for large vehicles, such as trucks or buses with immediate environmental benefits. They will reduce the development cost of electric trains, reducing the size of the motor control systems, leading to a further expansion and upgrade of local and regional railway systems.
The Army Research Office (ARO), through a DURIP Award, will provide the Computational Electronics Group with the resources totaling $150,000 to develop a heterogeneous computational hardware platform composed of distributed and shared memory systems integrated with GPUs to evaluate novel simulation methodologies for the design of electronic and optoelectronic materials and devices. Exploiting heterogeneous computing platform may significantly increase the ability of material scientists to predict novel material properties and possibly design new ones with specific properties.
For further information contact Prof. E. Bellotti at firstname.lastname@example.org