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Full-Text Articles in Engineering
A Spectral Flux Method For Solving The Boltzmann Equation, Muhammad A. Alam, Mark A. Stettler, Mark S. Lundstrom
A Spectral Flux Method For Solving The Boltzmann Equation, Muhammad A. Alam, Mark A. Stettler, Mark S. Lundstrom
Department of Electrical and Computer Engineering Faculty Publications
A spectral method for solving the Boltzmann equation by the scattering matrix approach is presented, The algorithm discussed can be used to simulate both bulk and device properties with arbitrary field profiles. Although the primary goal is to reduce the data storage problem of the scattering matrix approach, many of the concepts and mathematical properties developed may be useful for other traditional spectral methods as well.
Minority-Carrier Mobility Enhancement In P+ Ingaas Lattice Matched To Inp, E. S. Harmon, Michael L. Lovejoy, Michael R. Melloch, Mark S. Lundstrom, D. Ritter, R. A. Hamm
Minority-Carrier Mobility Enhancement In P+ Ingaas Lattice Matched To Inp, E. S. Harmon, Michael L. Lovejoy, Michael R. Melloch, Mark S. Lundstrom, D. Ritter, R. A. Hamm
Department of Electrical and Computer Engineering Faculty Publications
Minority electron mobilities in pf-In0.ssGac4, As have been measured with the zero field time-of-flight technique. The room-temperature (297 K) minority electron mobilities for p+-In,, 53Gac47A~ doped 0.9 and 3.1 x 10” cmm3 are found to be 2900 and 3300 cm* V-’ s-l, respectively. These are the first measurements to demonstrate enhancement in minority-carrier mobility as doping is increased for heavily doped Ines3Gae.4+s. This enhancement in mobility as doping is increased is similar to that observed in p+-GaAs, which has been attributed to reductions in plasmon and carrier-carrier scattering between minority electrons and majority holes.
Concentration‐Dependent Optical‐Absorption Coefficient In N‐Type Gaas, Gregory Benedict Lush, H. F. Macmillan, S. Asher, Michael R. Melloch, Mark S. Lundstrom
Concentration‐Dependent Optical‐Absorption Coefficient In N‐Type Gaas, Gregory Benedict Lush, H. F. Macmillan, S. Asher, Michael R. Melloch, Mark S. Lundstrom
Department of Electrical and Computer Engineering Faculty Publications
The doping-dependent, near-band-edge optical-absorption coefficient CY(h v) was deduced from optical transmission measurements in n-type GaAs thin films. The selenium-doped films were grown by metalorganic chemical-vapor deposition and do ed to produce room-temperature electron concentrations from 1.3 x 10” to 3.8X 1018 cm- P . The transmission measurements covered photon energies between 1.35 and 1.7 eV and were performed on double heterostructures with the substrate removed by selective etching. The results show good qualitative agreement with previous studies and good quantitative agreement, except for the heavily doped samples. For na=3.8 X 10” cme3, a( 1.42 eV> is approximately four times …
Experimental Observation Of A Minority Electron Mobility Enhancement In Degenerately Doped P-Type Gaas, E. S. Harmon, Michael L. Lovejoy, Michael R. Melloch, Mark S. Lundstrom, T. J. De Lyon, J. M. Woodall
Experimental Observation Of A Minority Electron Mobility Enhancement In Degenerately Doped P-Type Gaas, E. S. Harmon, Michael L. Lovejoy, Michael R. Melloch, Mark S. Lundstrom, T. J. De Lyon, J. M. Woodall
Department of Electrical and Computer Engineering Faculty Publications
The variation of minority electron mobility with doping density in p+-GaAs has been measured with the zero-field time-of-flight technique. The results from a series of nine GaAs films doped between 1 X lOI and 8 X 10” cmm3 show the mobility decreasing from 1950 cm2 V-’ s-l at 1 X 10” cmm3 to 1370 cm2 V-l s-l at 9X 10” cmB3. For the doping range 9 x 1018-8x 1019 cme3, the decreasing trend in mobility is reversed. The measured mobility of 3710 cm2 V-’ s-l at 8 X 10” cmp3 is about three times higher than the measured value at …
Feature Extraction And Classification Algorithms For High Dimensional Data, Chulhee Lee, David Landgrebe
Feature Extraction And Classification Algorithms For High Dimensional Data, Chulhee Lee, David Landgrebe
Department of Electrical and Computer Engineering Technical Reports
In this research, feature extraction and classification algorithms for high dimensional data are investigated. Developments with regard to sensors for Earth observation are moving in the direction of providing much higher dimensional multispectral imagery than is now possible. In analyzing such high dimensional data, processing time becomes an important factor. With large increases in dimensionality and the number of classes, processing time will increase significantly. To address this problem, a multistage classification scheme is proposed which reduces the processing time substantially by eliminating unlikely classes from further consideration at each stage. Several truncation criteria are developed and the relationship between …