Abstract: A low cost, rapid, flexible radiation detector uses inorganic metal halide precursors and dyes that respond to self-quenching hybrid scintillation. Remote, high-contrast, laser sensing can be used to determine when exposure of the detector to radiation occurs (even temporally).

Abstract: A low cost, rapid, flexible radiation detector uses inorganic metal halide precursors and dyes that respond to self-quenching hybrid scintillation. Remote, high-contrast, laser sensing can be used to determine when exposure of the detector to radiation occurs (even temporally).

Abstract: A low cost, rapid, flexible radiation detector uses inorganic metal halide precursors and dyes that respond to self-quenching hybrid scintillation. Remote, high-contrast, laser sensing can be used to determine when exposure of the detector to radiation occurs (even temporally).

Abstract: A low cost, rapid, flexible radiation detector uses inorganic metal halide precursors and dyes that respond to self-quenching hybrid scintillation. Remote, high-contrast, laser sensing can be used to determine when exposure of the detector to radiation occurs (even temporally).

Abstract: Ion-doped metal or ceramic nanoparticles can be added into, for example, a component that upon exposure to an environmental stimulus, will release the ion and ‘tattle’ on any impending destruction.

Abstract: Ion-doped metal or ceramic nanoparticles can be added into, for example, a component that upon exposure to an environmental stimulus, will release the ion and ‘tattle’ on any impending destruction.

Abstract: A three-electrode mixed-potential electrochemical sensor coupled with an artificial neural network data analysis approach can extract concentrations from voltages and identify gas streams consisting of single and binary mixtures of NO2, NO, CO, and C3H8. By using the data from the sensors in biased and unbiased mode, single and binary mixtures can be identified with >98% accuracy identify all single and binary mixtures. While concentrations can be readily extracted from single test gas mixtures through a linear fit to the most sensitive electrode pair, binary mixture concentrations analyzed with an artificial neural network resulted in error distributions with a 95% peak accuracy in concentration with 80% of the data points having an accuracy at the 88% level. The sensor is suitable for control and monitoring of diesel and gasoline engines, turbines, steam power plants, and other combustion technologies.

Abstract: A method of producing a proton conducting material, comprising adding a pyrophosphate salt to a solvent to produce a dissolved pyrophosphate salt; adding an inorganic acid salt to a solvent to produce a dissolved inorganic acid salt; adding the dissolved inorganic acid salt to the dissolved pyrophosphate salt to produce a mixture; substantially evaporating the solvent from the mixture to produce a precipitate; and calcining the precipitate at a temperature of from about 400° C. to about 1200° C.

Abstract: A method of producing a proton conducting material, comprising adding a pyrophosphate salt to a solvent to produce a dissolved pyrophosphate salt; adding an inorganic acid salt to a solvent to produce a dissolved inorganic acid salt; adding the dissolved inorganic acid salt to the dissolved pyrophosphate salt to produce a mixture; substantially evaporating the solvent from the mixture to produce a precipitate; and calcining the precipitate at a temperature of from about 400° C. to about 1200° C.