Area of research
Computational Mechanics · Fluid Flow and Transfer Processes
Research interest
Research focused on Nickel and In situ, with related work in Artificial intelligence, Postharvest, Triple-negative breast cancer. Notable publications include 'Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms', 'Hypobaric Treatment Effects on Chilling Injury, Mitochondrial Dysfunction, and the Ascorbate–Glutathione (AsA-GSH) Cycle in Postharvest Peach Fruit', and 'Protein tyrosine phosphatase UBASH3B is overexpressed in triple-negative breast cancer and promotes invasion and metastasis'.
The selective cleavage of C–O linkages and efficient hydrogenation over a cobalt-doped nickel phosphide catalyst
In Situ Nitrogen-Doped Carbon-Coated Nickel Nanoparticles Derived from Hofmann Metal-Organic Frameworks for Efficient Bond-Hydrogenation and Cleavage of C-O Linkages
<i>In situ</i> nitrogen-doped carbon-coated nickel nanoparticles derived from Hofmann metal–organic frameworks for efficient bond-hydrogenation and cleavage of C–O linkages
Experimental and Numerical Investigation on Combustion Characteristics of Cracked Ammonia Flames
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
Hypobaric Treatment Effects on Chilling Injury, Mitochondrial Dysfunction, and the Ascorbate–Glutathione (AsA-GSH) Cycle in Postharvest Peach Fruit
Protein tyrosine phosphatase <i>UBASH3B</i> is overexpressed in triple-negative breast cancer and promotes invasion and metastasis