Search

This paper presents a one-transistor dynamic random access memory (1T-DRAM) based on a novel surrounding-gate transistor with wide trenched body (WT-SGT). This 1T-DRAM exhibits favorable transient performance after word line (WL)/bit line (BL) disturbance, which is verified using Sentaurus TCAD 12.0. The proposed memory cell can be fabricated with a feature area of 4 \mathrmF^2 and with processes that are fully compatible with conventional CMOS technology. Extended simulations reveal three key findings. First, the WT-SGT achieves a high-speed programming operation (1.17 ns) at a low operating voltage (1.6 V) and with a programming window that can be further extended by widening its trenched body. Second, the recombination rate is also reduced, thereby yielding an acceptable retention time (RT) of 625.6 ms. Third, the decreased RT after a 100-ns WL/BL disturbance is improved by 33%, as compared with a conventional SGT 1T-DRAM. We, therefore, believe that this new device will become a competitive candidate for use in future DRAM cells. [ABSTRACT FROM PUBLISHER]

The last few decades have seen the rise of widely-available proteomics tools. From new data acquisition devices, such as MALDI-MS and 2DE to new database searching softwares, these new products have paved the way for high throughput microbial proteomics (HTMP). These tools are enabling researchers to gain new insights into microbial metabolism, and are opening up new areas of study, such as protein-protein interactions (interactomics) discovery. Computer software is a key part of these emerging fields. This current review considers: 1) software tools for identifying the proteome, such as MASCOT or PDQuest, 2) online databases of proteomes, such as SWISS-PROT, Proteome Web, or the Proteomics Facility of the Pathogen Functional Genomics Resource Center, and 3) software tools for applying proteomic data, such as PSI-BLAST or VESPA. These tools allow for research in network biology, protein identification, functional annotation, target identification/validation, protein expression, protein structural analysis, metabolic pathway engineering and drug discovery.