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Nevertheless, for specific applications some improvement in High Temperature Data Retention (HTDR) characteristics is needed.
Low pressure, high temperature data can be fit by a first order reaction rate expression.
High temperature data, beyond the diffusion controlled range, was used to fit the kinetics to an autocatalytic rate equation to determine the chemically-controlled rate constants.
Resulting uncertainties have a relevant influence on the determination of the arc thermal performance value via the specified logistic regression algorithm due to the presence of independent variable errors (i.e. errors of incident energy values calculated from high temperature data measured by calorimeters), which are not taken in account in the actual procedures.
The model, which is based upon available thermodynamic and kinetic data as well as key density functional theory calculations, shows that nano-oxide nucleation and growth are highly driven and that pipe diffusion is the dominant mode of their coarsening, in agreement with previous analyses of experimental high temperature data.
Both models calibrated with the high temperature data under predict measured rates at 25°C.
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Examples of modulus and tan δ vs. temperature are provided in Fig. 2. Increasing filler loading caused no obvious changes in tan δ or E′ and E″ at low and high temperatures (data not shown).
The decay in total power density observed in the higher temperature data was attributed to the Si-ncs undergoing Ostwald ripening and restructuring in the silicon nitride host matrix.
The regression of ln K (4) vs. 1/T for the ZrO2-NaOH-H2O fluids is divided into high density and low density (Fig. 6) because the three highest temperature data points for this composition were recorded at a lower pressure as the result of extensive deformation of the sample hole of the Ir gasket (see also Table 1 and Fig. 1).
This prompted us to monitor the level of SPI2 expression observed in our CFA media-based experiments at 25°C compared with growth in LB at a higher temperature (data not shown).
Especially, the high-temperature data points (553 K) tend to form a curve in the linear Arrhenius plots (Fig. 1d and Fig. 4d), indicating a higher activation energy required for the high-temperature structure relaxation.
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