A new method for the DRAM soft-error evaluation was developed. By using a focused proton microprobe as a radiation source, and scanning it on a memory cell plane, local sensitive structure of memory cells against soft-errors could be investigated with a form of the susceptibility mapping. Cell mode and bit-line mode soft-errors could be clearly distinguished by controlling the incident location and the proton dose, and it was also found that the incident beam within 4 µm around the monitored memory cell caused the soft-error. The retrograde well formed by the MeV ion implantation technology was examined by this method. It was confirmed that the B+ layers in the retrograde well were a sufficient barrier against the charge collection. The generation rate of the electron-hole pairs and the charge collection into n+ layers with a retrograde well and a conventional well were estimated by the device simulator, and were explained the experimental results.

We propose a nonlocal impact ionization model applicable for the drain region where electric field increases exponentially. It is expressed as a function of an electric field and a characteristic length which is determined by a thickness of gate oxide and a source/drain junction depth. An analytical substrate current model for n-MOSFET is also derived from the new nonlocal impact ionization model. The model well explains the reason why the theoretical characteristic length differs from empirical expressions used in a pseudo two-dimensional model for MOSFET's. The nonlocal impact ionization model implemented in a device simulator demonstrates that the new model can predict substrate current correctly in the framework of drift-diffusion model.

A circuit-level electrothermal simulator, MICS (MItsubishi Circuit Simulator), is presented with parasitic bipolar transistor action and lattice heating taken into account. Diffusion capacitance in parasitic bipolar transistors is introduced to cover turn-on behavior under short rise-time current. Device temperatures are simulated from calculated electrical characteristics and the closed-form solution of the heat transfer equation. Simulation results show that this tool is valuable in evaluating electrostatic discharge (ESD) robustness in integrated circuits (ICs).