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HomeAffiliationsIllinois Institute of Technology

Affiliations: Illinois Institute of Technology

Computation-assisted nanopore detection of uranyl ions

Roozbahani G.M, Chen X., Zhang Y., Guan X., Illinois Institute of Technology, US
Because of uranium mining, nuclear power production, nuclear weapon development, as well as other industrial and medical application, uranium has been one of the most common radioactive contaminants in the environment, which raises concerns about [...]

Integration of Flow Batteries into Electric Vehicles: Feasibility and the Future

Katsoudas J.P., Timofeeva E.V., Segre C.U., Singh D., Illinois Institute of Technology, US
Driving range, safety and cost remain the biggest hurdles in the way of mass electric vehicle adoption. To compete with established combustion-engine vehicles, EVs need to have a highly flexible operating capability with minimum downtime. [...]

Integration of Flow Batteries into Electric Vehicles: Feasibility and the Future

Katsoudas J.P., Timofeeva E.V., Segre C.U., Singh D., Illinois Institute of Technology, US
Driving range, safety and cost remain the biggest hurdles in the way of mass electric vehicle adoption. To compete with established combustion-engine vehicles, EVs need to have a highly flexible operating capability with minimum downtime. [...]

Nanofluidics: Wetting and Spreading Phenomena and Applications

Wasan D., Nikolov A., Illinois Institute of Technology, US
Suspensions of nanometer-sized particles in liquids (nanofluids) are used in a variety of technological applications and biological systems. For example, their spreading and adhesion behavior on solid surfaces can yield materials with desirable structural and [...]

Full-band Particle-based Simulation of Germanium-On-Insulator FETs

Beysserie S., Branlard J., Aboud S., Goodnick S.M., Thornton T., Saraniti M., Illinois Institute of Technology, US
We model and simulate novel fully depleted (FD) sub-50nm gate lengths MOSFET structures using a full-band particle simulator based on the Cellular Monte Carlo (CMC) method that provides an accurate transport model at the high [...]

Towards a Reliable Model of Ion Channels: Three-dimensional simulation of ionic solutions

Saraniti M., Wigger S., Schuss Z., Eisenberg R.S., Illinois Institute of Technology, US
Ion channels play a crucial role in the physiology of complex biological systems because of their influence on the electrical equilibrium between the cells and their environment. From an engineering viewpoint, ion channels will be [...]

Full-Band Cellular Automata for Modeling Transport in Sub-Micrometer Devices

Saraniti M., Wigger S.J., Goodnick S.M., Illinois Institute of Technology, US
The aim of the present work is to discuss a new cellular automaton (CA) approach to model charge transport in semiconductors taking into account the full-band representatoin of the electronic structur eand of the phonon [...]

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