Probing Charge Transport and Background Doping in Metal-Organic Chemical Vapor Deposition-Grown (010) ß-Ga 2 O 3 Read more about Probing Charge Transport and Background Doping in Metal-Organic Chemical Vapor Deposition-Grown (010) ß-Ga 2 O 3
Quantitative defect analysis in MOCVD GaN-on-GaN using cathodoluminescence Read more about Quantitative defect analysis in MOCVD GaN-on-GaN using cathodoluminescence
High-temperature low-pressure chemical vapor deposition of ß-Ga 2 O 3 Read more about High-temperature low-pressure chemical vapor deposition of ß-Ga 2 O 3
MOCVD growth of ß-phase (Al x Ga 1-x ) 2 O 3 on ( 2 ¯01) ß-Ga 2 O 3 substrates Read more about MOCVD growth of ß-phase (Al x Ga 1-x ) 2 O 3 on ( 2 ¯01) ß-Ga 2 O 3 substrates
MOCVD Epitaxy of Ultrawide Bandgap ß-(Al x Ga 1 x ) 2 O 3 with High-Al Composition on (100) ß-Ga 2 O 3 Substrates Read more about MOCVD Epitaxy of Ultrawide Bandgap ß-(Al x Ga 1 x ) 2 O 3 with High-Al Composition on (100) ß-Ga 2 O 3 Substrates
Influence of growth temperature on defect states throughout the bandgap of MOCVD-grown ß -Ga 2 O 3 Read more about Influence of growth temperature on defect states throughout the bandgap of MOCVD-grown ß -Ga 2 O 3
Simulation of optical properties of thermochromic film: Influences of particle configuration and geometry Read more about Simulation of optical properties of thermochromic film: Influences of particle configuration and geometry
Seismic Functionality and Resilience Analysis of Water Distribution Systems Read more about Seismic Functionality and Resilience Analysis of Water Distribution Systems
Experimental investigation on the long-term interactions of anhydrite rock, crude oil, and water in a mine-out space for crude-oil storage Read more about Experimental investigation on the long-term interactions of anhydrite rock, crude oil, and water in a mine-out space for crude-oil storage
A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants Read more about A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants
