Biography
Bright O. Okonkwo is, at present, an Associate Researcher at Institute of Corrosion Science and Technology, Guangzhou, China. He carried out his Postdoctoral research work at Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
Bright O. Okonkwo has a Ph.D. in Material Science and Engineering from the Institute of Metal Research, University of Science and Technology of China, China. Prior to that, he got his Master’s degree in Physical Chemistry from the University of Calabar, Nigeria.
His research efforts are focused on understanding the mechanism, inhibition and modelling of corrosion processes, environmental pollution, degradation and remediation, materials synthesis, materials characterization and mechanical property investigation of structural materials.
He is a co-author of 1 textbook and has published over 20 well-cited articles in international peer-reviewed Journals in nuclear materials characterization, materials corrosion, materials protection/coatings, and environmental degradation and remediation.
Research Interest
My research interest is on the structural integrity and protection of several industrial materials, such as, stainless steels, low alloy steel, zirconium, titanium and nickel-based alloys. My research also focuses on electroplating of metallic/bimetallic coatings, and development of new materials for high temperature environments and nuclear waste storage material. My core background is on electrochemistry.
Editor
Work Details
Associate Researcher
Institute of Corrosion Science and Technology
Corrosion Service Safety Center for Nuclear
China
Contribution by Topic Area
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Research Articles
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
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