Blar i UiS Brage på forfatter "Cao, Jie"
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Path design and optimization with obstacle avoidance via reinforcement learning
Haque, Md Fazlul (Master thesis, 2022)For the last couple of decades, finding an optimized drilling path has been one of the key concerns for drilling engineers. It takes a couple of months to plan a well for a large number of people. The motive of this thesis ... -
Transition metal single-atom supported on PC3 monolayer for highly efficient hydrogen evolution reaction by combined density functional theory and machine learning study
Lu, Song; Cao, Jie; Zhang, Yang; Lou, feng liu; Yu, Zhixin (Peer reviewed; Journal article, 2022)It is essential to develop non-precious metal-based alternatives used in hydrogen evolution reaction (HER) due to high cost and scarcity of Pt-based catalysts. Herein, through density functional theory (DFT) calculations, ... -
Uncertainty analysis of Supervised machine learning predictions applied to Lithology classification
Shashel, Alina (Master thesis, 2022)Geosteering is the technique of guiding directional drilling to remain within the pay zone. This process demands a thorough survey of the lithological properties of the surrounding geo- logical strata. Since logging while ...