Abstract:
A stressor structure is formed within a drain region of an access transistor in a dynamic random access memory (DRAM) cell in a semiconductor-on-insulator (SOI) substrate without forming any stressor structure in a source region of the DRAM cell. The stressor structure induces a stress gradient within the body region of the access transistor, which induces a greater leakage current at the body-drain junction than at the body-source junction. The body potential of the access transistor has a stronger coupling to the drain voltage than to the source voltage. An asymmetric etch of a gate dielectric cap, application of a planarization material layer, and a non-selective etch of the planarization material layer and the gate dielectric cap can be employed to form the DRAM cell.
Abstract:
The present invention relates generally to semiconductor devices and more particularly, to a structure and method of forming a junction butting region using low energy ion implantation to reduce parasitic leakage and body-to-body leakage between adjacent FETs that share a common contact in high density memory technologies, such as dynamic random access memory (DRAM) devices and embedded DRAM (eDRAM) devices. A method disclosed may include forming a junction butting region at the bottom of a trench formed in a semiconductor on insulator (SOI) layer using low energy ion implantation and protecting adjacent structures from damage from ion scattering using a protective layer.
Abstract:
Apparatus, method and computer program product for reducing overlay errors during a semiconductor photolithographic mask design process flow. The method obtains data representing density characteristics of a photo mask layout design; predicts stress induced displacements based on said obtained density characteristics data; and corrects the mask layout design data by specifying shift movement of individual photo mask design shapes to pre-compensate for predicted displacements. To obtain data representing density characteristics, the method merges pieces of data that are combined to make a photo mask to obtain a full reticle field data set. The merge includes a merge of data representing density characteristic driven stress effects. The density characteristics data for the merged reticle data are then computed. To predict stress-induced displacements, the method inputs said density characteristics data into a programmed model that predicts displacements as a function of density, and outputs the predicted shift data.