Pennsylvania State University – Page 2

Developing PbSe/PbS Core-Shell Nanocrystals Quantum Dots (NQDs) for Light Emitting NQD/Silicon Heterojunctions

Cui D., Paradee G., Xu J., Xu S., Zhang F., Zhu T., Pennsylvania State University, US

In order to incorporate infrared colloidal nanocrystal quantum dots into silicon matrix to develop silicon-based light emitters, we report in this paper the epitaxial growth of PbS shells over PbSe NQDs with monolayer precision. The [...]

Introduction to PSP MOSFET Model

Gildenblat G., Klaassen D.B.M., Li X., Scholten A.J., Smit G.D.J., van Langevelde R., Wang H., Wu W., Pennsylvania State University, US

PSP is the latest and the most advanced compact MOSFET model developed by merging the best features of the two surface potential-based models: SP (devel- oped at The Pennsylvania State University) and MM11 (developed by [...]

A Surface-Potential-Based Extrinsic Compact MOSFET Model

Gildenblat G., Gu X., Shapira S., Stiles K., Veeraraghavan S., Workman G., Pennsylvania State University, US

This work presents the extrinsic part of a recently developed advanced surface-potential-based compact MOSFET model (SP). At present, it includes a novel engineering gate current model, a substrate current model valid in all regions of [...]

Multiscale Simulation of the Thermal Desorption of Large Molecules from Solid Surfaces

Fichthorn K., Kulkarni A., Miron R.A., Pennsylvania State University, US

We use molecular-dynamics simulations and importance sampling to obtain transition-state theory rate constants for thermal desorption of an n-alkane series from Pt(111). These simulations indicate that the binding of a large molecule to a solid [...]

Overview of An Advanced Surface-Potential-Based MOSFET Model (SP)

Chen T.L., Gildenblat G., Pennsylvania State University, US

This paper outlines a new surface-potential-based compact MOSFET model (SP) developed at The Pennsylvania State University. The main objective of this work is to find practical engineering solutions of several long-standing problems of surface-potential-based modeling [...]