Sentence examples for behavior over the temperature from inspiring English sources

Bi2Te3 single crystal prepared under this condition has smooth surface with bright metallic luster and obvious layered structure, showing metallic behavior over the temperature range 7 300 K.

The increase of Ln(σ (T^{alpha })) with increasing temperature indicates that the compound presents a semiconducting behavior over the temperature range 293 703 K.

The temperature dependence of the shift factor follows the Vogel Fulcher behavior over the temperature range studied, and the temperature dependence is slightly weaker for the blends.

For all flies showing an induced behavior, after the 2-min observation was over, the temperature was immediately decreased to 21° and their behavior was observed for an additional 2 min. This functioned as a negative control, because the TrpA1 channel should be inactive at 21° (Hamada et al. 2008; Pulver et al. 2009).

The ρ T curve shows that ρ decreases with temperature, showing metallic behavior over the whole temperature range.

In contrast, the film with x = 0.30 displayed an insulating behavior over the entire temperature range of 2 300 K.

Without an applied magnetic field, the films with x = 0.10 and 0.20 showed a metal insulator transition, while the x = 0.30 thin film showed insulating behavior over the entire temperature range of 2 300 K.

For C/O= 0.6→1.4, H2 and CO formation show a strict linear Arrhenius behavior over the entire temperature range from ∼1100 to ∼600∘C.

The DAC retains its 10 bit linear monotonic behavior over the wide temperature range and it drives a 50 Ω load to 516 mV with a full scale rise time of 10 ns.

Herein, the jump is attributable to the different reversal fields of hard CoFe2O4 and soft CoFe2, which is an indicative of no exchange-coupling occurring between soft and hard species, because in an exchange-coupled system, the magnetization could show an equivalent reversal behavior over the whole temperature region and the loop should be as smooth as that of the single-phase hard magnet.

Comparison of the vacancy diffusion constants, the pre-exponential factors and the migration energies in the CuNi alloys obtained using the First Shell-Gray model and the more accurate but much less computationally efficient Monte Carlo simulation method suggests that the First Shell-Gray model is adequate to predict the diffusion behavior over the entire temperature range.