Исследование плотности интерфейсных состояний на границах раздела диэлектрик / In-=SUB=-0.52-=/SUB=-Al-=SUB=-0.48-=/SUB=-As

The capacitance-voltage (С-V) characteristics of Au/Al2O3/In0.52Al0.48As and Au/SiO2/In0.52Al0.48As metal-insulator-semiconductor (MIS) structures were studied. It was found that the measurement of the C-V characteristics of MIS structures based on InAlAs by the fragment method, in contrast to the standard technique at a constant bias voltage scan rate, significantly reduces the hysteresis effect and allows to obtain stationary curves. It was shown that the fast interface states density calculated by the Terman method from such C-V characteristics varies slightly along the InAlAs band gap and amounts to (3-6) 1011 eV-1cm-2 and (1-3)·1011 eV-1cm-2 for MIS structures with Al2O3 and SiO2, respectively.

A multi-layer energy-based fragment method for excited states and nonadiabatic dynamics

We developed a multi-layer energy-based fragment (MLEBF) method within the many-body energy expansion framework.

Estimating Random Uncertainty in Airborne Flux Measurements over Alaskan Tundra: Update on the Flux Fragment Method

Airborne turbulence measurement gives a spatial distribution of air–surface fluxes that networks of fixed surface sites typically cannot capture. Much work has improved the accuracy of such measurements and the estimation of the uncertainty peculiar to streams of turbulence data measured from the air. A particularly significant challenge and opportunity is to distinguish fluxes from different surface types, especially those occurring in patches smaller than the necessary averaging length. The flux fragment method (FFM), a conditional-sampling variant of eddy covariance in the space–time domain, was presented in 2008. It was shown capable of segregating the mean flux density (CO2, H2O, sensible heat) in maize from that in soybeans over the patchwork farmlands of Illinois. This was, however, an ideal surface for the method, and the random-error estimate used a relatively rudimentary bootstrap resampling. The present paper describes an upgraded random-error estimate that accounts for the serial correlation of the time/space series and the heterogeneity of the signal. Results are presented from the Alaskan tundra. Though recognized as important, systematic error estimates are not covered in this paper. Some discussion is offered on the relation of the FFM to other approaches similarly motivated, particularly those using wavelets. Successful measurement of the variation of air–surface exchange over heterogeneous surfaces has value for developing and improving process models relating surface flux to remotely sensible quantities, such as the vegetative land-cover type and its condition.