Abstract: The present disclosure is directed to methods for low-cost, high-volume production of strain gages having substantially uniform gage-to-gage resistances. Strain gages in accordance with the present disclosure are sculpted from a device layer of a semiconductor-on-insulator wafer using deep reactive ion etching, thereby enabling well-controlled electrical properties and physical dimensions of the strain gages. In some embodiments, groups of fully fabricated strain gages are physically connected to handling frames via sprues to facilitate handling, automated assembly, and/or tracing of individual gages from the beginning of fabrication through final packaging. In some embodiments, sprues are configured to mitigate accidental separation of the gages from their frames while simultaneously enabling their removal in response to specific forces applied by a handling tool.

Abstract: A system and method for providing real-time distributed micro-grid optimization using price signals to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data—from grid telemetry to traffic data to trip-to-trip data and more-in order to make informed spatiotemporal decisions about optimal pricing signals as well as strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, grid fortification, and revenue generation. Energy stores are then sent updated price signals and updated parameters as to the amount of energy to hold or release.

Abstract: A system and method for providing risk mitigation and resilience to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data—from grid telemetry to traffic data to trip-to-trip data and more—in order to make informed spatiotemporal decisions about strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, and grid fortification. Energy stores are then sent updated parameters as to the amount of energy to hold or release.

Abstract: A system and method for providing real-time distributed micro-grid optimization using price signals to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data-from grid telemetry to traffic data to trip-to-trip data and more-in order to make informed spatiotemporal decisions about optimal pricing signals as well as strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, grid fortification, and revenue generation. Energy stores are then sent updated price signals and updated parameters as to the amount of energy to hold or release.

Abstract: A system and method for providing risk mitigation and resilience to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data—from grid telemetry to traffic data to trip-to-trip data and more—in order to make informed spatiotemporal decisions about strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, and grid fortification. Energy stores are then sent updated parameters as to the amount of energy to hold or release.

Abstract: A system and method for providing risk mitigation and resilience to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data—from grid telemetry to traffic data to trip-to-trip data and more—in order to make informed spatiotemporal decisions about strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, and grid fortification. Energy stores are then sent updated parameters as to the amount of energy to hold or release.

Abstract: A system and method for providing extreme fast charging of electric vehicles that mimics the typical gas station experience while also supporting local grid energy management using a distributed network of extremely fast charging stations to form a large virtual resource for the grid. The system consists of a controller unit responsible for system operation tasks, a high-voltage battery pack capable of rapid discharge rates to support extreme fast charging, a cloud-based database to persist and manage system and network data, a DC electric vehicle outlet for providing charging, safety systems, and power electronic equipment configured to allow bi-directional flow of power between a local, low-voltage AC grid and the extreme fast charging station. The bi-directional capabilities of the power electronic circuits within the system allow the charging station to provide power resources, stored within the high-voltage battery pack, to help support local grid power consumption.

Abstract: One embodiment of the invention includes an assembly of metal oxide comprising valve metal oxide nanotubes.

Abstract: One exemplary embodiment may include a method comprising: depositing a solution comprising an organometallic compound on a substrate, drying the solution to provide a film of the organometallic compound and at least partially oxidizing an organic component of the organometallic compound to provide nanoparticles including metal oxides on the substrate which would have multiuse industrial applications.

Abstract: One exemplary embodiment may include a method comprising: depositing a solution comprising an organometallic compound on a substrate, drying the solution to provide a film of the organometallic compound and at least partially oxidizing an organic component of the organometallic compound to provide nanoparticles including metal oxides on the substrate which would have multiuse industrial applications.

Abstract: A method is disclosed for growing metal (including semiconductor metal) nanowires from a film deposited on a substrate. In an illustrative embodiment tin and silicon are co-deposited, such as by sputtering, on a silicon substrate at, for example, ambient temperature. The deposited tin and silicon do not mix and the film has a tin phase dispersed in a higher melting, lower coefficient of thermal expansion, silicon phase. Upon heating, the tin expands against the silicon and expels small tin wires from the upper surface of the film. Other metal or metal alloy wires may be formed in a like manner using a matrix material and substrate in film deposition that don't mix with the metal composition and, when heated, force the expanding metal to extrude from the film surface as small diameter wires.

Abstract: A system and method are disclosed to facilitates programming of a recording device. A client system is operatively coupled with the recording device, which, for example, is programmed and/or configured to record selected audio and/or visual broadcast programming. The client system receives a message, such as in the form of electronic mail (email) or another suitable form, from a remotely located computer. One or more tokens are associated with the message for providing program criteria indicative of selected audio and/or visual programming, which may be employed to program the recording device for recording broadcast programming based on the token.

Abstract: A method is disclosed for growing metal (including semiconductor metal) nanowires from a film deposited on a substrate. In an illustrative embodiment tin and silicon are co-deposited, such as by sputtering, on a silicon substrate at, for example, ambient temperature. The deposited tin and silicon do not mix and the film has a tin phase dispersed in a higher melting, lower coefficient of thermal expansion, silicon phase. Upon heating, the tin expands against the silicon and expels small tin wires from the upper surface of the film. Other metal or metal alloy wires may be formed in a like manner using a matrix material and substrate in film deposition that don't mix with the metal composition and, when heated, force the expanding metal to extrude from the film surface as small diameter wires.

Abstract: A token schema is provided for identifying a broadcast audio and/or visual program to facilitate recording of the identified program. The token schema includes program criteria for identifying a corresponding audio/or visual program, which is sufficient to enable a recording system that receives the token to record the identified program based on the token. A token also represents an audio and/or visual program in a form that may be sent to one or more recipients, such as part of an email message or by other data transport mechanisms.

Abstract: A system and method are disclosed for providing program criteria representing a plurality of audio and/or visual programs. A plurality of tokens are stored in a database of one or more computers, each token having an identifier for identifying a predetermined audio and/or visual program. Each token may be a universal program identifier that represents a specific program in a global programming environment (e.g., the token may identify a program across multiple tuning spaces). Alternatively or additionally, a token may be a tuning-space specific program identifier that represents program criteria associated with a specific program for particular tuning space. The server is programmed to provide at least one token to a remote computer based on selection criteria.

Abstract: One exemplary embodiment may include a method comprising: depositing a solution comprising an organometallic compound on a substrate, drying the solution to provide a film of the organometallic compound and at least partially oxidizing an organic component of the organometallic compound to provide nanoparticles including metal oxides on the substrate which would have multiuse industrial applications.

Abstract: One exemplary embodiment may include a method comprising: depositing a solution comprising an organometallic compound on a substrate, drying the solution to provide a film of the organometallic compound and at least partially oxidizing an organic component of the organometallic compound to provide nanoparticles including metal oxides on the substrate which would have multiuse industrial applications.

Abstract: A system and method are disclosed for providing program criteria representing a plurality of audio and/or visual programs. A plurality of tokens are stored in a database of one or more computers, each token having an identifier for identifying a predetermined audio and/or visual program. Each token may be a universal program identifier that represents a specific program in a global programming environment (e.g., the token may identify a program across multiple tuning spaces). Alternatively or additionally, a token may be a tuning-space specific program identifier that represents program criteria associated with a specific program for particular tuning space. The server is programmed to provide at least one token to a remote computer based on selection criteria.

Abstract: One embodiment of the invention includes a product including a fuel cell component including a coating thereon, the coating comprising nanoparticles comprising titanium oxide or titanium containing compounds derived therefrom.

Abstract: One embodiment of the invention includes an assembly of metal oxide comprising valve metal oxide nanotubes.