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Given the maturity of MOSFETs, selecting one for your next design may seem deceptively simple. Engineers are familiar with the figures of merit on a MOSFET data sheet. Selecting a MOSFET requires the engineer to use their expertise in scrutinizing different specifications for individual applications. In an application such as a load switch in a server power supply, the switching aspects of a MOSFET matter little because the MOSFET is on almost 100% of the time. The on resistance (RDS(ON)) may be the key figure of merit in such an application. Still other applications, including switching power supplies, use MOSFETs as active switches, and cause the engineer to value other MOSFET performance parameters. Let us consider some applications and their prioritization of MOSFET specifications.

Researchers at CMU and Intel are attempting to map and understand human brain activity well enough that individual words can be detected. Currently, giant MRI machines are being used but the future holds smaller devices that can be worn like a helmet according to Dean Pomerleau, senior researcher at Intel. The efficiency and productivity of word detection will be superior to existing technology that allows an operator to simply control a cursor. This technology will no doubt make its way into robotic telepresence applications including remote surgery and construction in dangerous environments such as the ocean and space.

The marriage of high performance optics with microfluidics could prove the perfect match for making lab-on-a-chip technologies more practical. Microfluidics, the ability to manipulate tiny volumes of liquid, is at the heart of many lab-on-a-chip devices. Such platforms can automatically mix and filter chemicals, making them ideal for disease detection and environmental sensing. The performance of these devices, however, is typically inferior to larger scale laboratory equipment. While lab-on-a-chip systems can deliver and manipulate millions of liquid drops, there is not an equally scalable and efficient way to detect the activity, such as biological reactions, within the drops.

The potential for the QTC material to transition from an insulator to a conductor (i.e. change its electrical property) is influenced by how much deformation the material is experiencing as a result of the applied mechanical pressure. QTC can be used to produce low profile, low cost, pressure activated switches or sensors that display variable resistance with applied force and return to a quiescent state when the force is removed. The difference between a QTC switch and a QTC sensor is arguably only the speed and amount of physical input required to achieve the required switching point or resistance range.

The IEEE has launched a new Web site that consolidates information about smart electric grids from it various societies. The portal is one of many activities from an IEEE smart grid initiative coordinating the organization's work on the transition to digital, networked power systems and services. The smart grid is "so interdisciplinary," said Wanda Reder, chair of the IEEE Smart Grid Task Force and former president of the IEEE Power & Energy Society. "We have the gamut covered in technical interests, but we needed a way to facilitate communications between our many entities to link information on all the conferences, papers and standards we have in this area," she added.

Having the lowest system power allows customers to achieve their design objectives, whether it be for longer battery life, higher product performance or lower system cost. The Si100x/1x wireless MCU family features the industry’s lowest active mode current consumption, which saves power when the application is running. It also has the industry’s lowest current consumption sleep modes that save power when the device is sleeping, which is typically the majority of time in most battery powered applications.

Google PowerMeter allows consumers to access their power consumption data through a secure, Web-based iGoogle™ gadget. As a Strategic Partner, Microchip incorporated the recently announced Google PowerMeter API to create a Reference Implementation, which makes it much easier to develop products that are compatible with Google PowerMeter. Microchip's Reference Implementation demonstrates the device's activation, data transmission and status messages using readily available Microchip development tools. It can be used as a template for developers' own designs.