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1999, 2nd ed., ISBN 9780126738421, 599
This book describes the operation of a particular technique for the production of compound semiconductor materials. It describes how the technique works, how... 
Compound semiconductors | Crystal growth | Vapor-plating | Epitaxy | Electronics & communications engineering | Metal organic chemical vapor deposition
eBook
Journal Article
Journal of Crystal Growth, ISSN 0022-0248, 2011, Volume 331, Issue 1, pp. 25 - 28
Heteroeptaxial growth of semipolar GaN on sapphire by metal-organic vapor phase epitaxy has been investigated using high temperature nucleation layers in order... 
B1. Sapphire | B1. Nitrides | B2. Semiconducting gallium compounds | A2. Single crystal growth | A2. Growth form vapor | A3. Metal-organic vapor phase epitaxy | Atomic force microscopy | Epitaxy | Liquors | Crystal defects | Stacking faults | Vapor phase epitaxy | Nucleation | Gallium nitrides | Sapphire | Images | Roughness
Journal Article
physica status solidi (b), ISSN 0370-1972, 08/2017, Volume 254, Issue 8, p. n/a
First-principles calculations are used to investigate the stable structures of the GaN(0001) and (000-1) surfaces under oxide vapor phase epitaxy growth... 
first‐principles calculations | surface phase diagram | GaN | oxide vapor phase epitaxy | first-principles calculations | PHYSICS, CONDENSED MATTER | MODEL | ADSORPTION | Epitaxy | Liquors
Journal Article
7. Full Text Contribution of substrate reorganization energies of electron transfer to laccase activity (Electronic supplementary information (ESI) available: Details on the datasets A and B (Table S1), conformation sensitivity test (Table S2), total internal energies of dataset A (Tables S3–S5) and dataset B (Tables S6–S8) calculated using B3LYP, M06 and PBE functionals, reorganization energies of dataset A (Table S9) and dataset B (Table S10) calculated using total internal energies, total free energies of dataset A (Tables S11–S13), total free energies of dataset B (Tables S14–S16), solution phase energies of dataset A (Tables S17–S19), solution phase energies of dataset B (Tables S20–S22), gas phase energies of dataset A (Tables S23–S25), gas phase energies of dataset B (Tables S26–S28), reorganization energies calculated using free energies (Tables S29 and S30), solution phase energies (Tables S31 and S32), and gas phase energies (Tables S33 and S34), x- and y-intersects for dataset A (Tables S35 and S36), plots of correlation between activity or kcat and reorganization energies using free energies (Fig. S1 and S2), solution phase energies (Fig. S3 and S4), gas phase energies (Fig. S5 and S6), total internal energies (Fig. S7–S9), relationship between Marcus activation barriers accounting for the oxidation potential of the substrates (Fig. S10 and S11), and relationship between substrate-T1 distance and log (activity) (Fig. S12). See DOI: 10.1039/c9cp01012b)
Physical Chemistry Chemical Physics : PCCP, ISSN 1463-9076, 01/2019, Volume 21, Issue 28, pp. 15805 - 15814
Electron transfer is the most fundamental reaction in chemistry, yet its exact mechanistic details are often complex. Laccases are important electron-transfer... 
Enzymes | Correlation | Vapor phases | Energy costs | Electron transfer | Substrates | Datasets | Organic chemistry | Nuclear fuels | Bleaching | Mathematical analysis | Fuel cells | Data sets | Density functional theory | Oxidation | Catalysis | Bioremediation | Chemical synthesis | Copper | Laccase | Electrons
Journal Article
MATERIALS & DESIGN, ISSN 0264-1275, 12/2016, Volume 112, pp. 495 - 504
Journal Article
Journal Article
1975, 1st ed., ISBN 9780080180755, Volume 56., vi, 370
Book