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Kai Tang

Senior Research Scientist

His extensive research focuses primarily on pyrometallurgy and materials science. Key areas of his work include the production and purification of silicon , the study of molten slags and alloys , and applying machine learning for metallurgical processes. He is a leading expert in the recycling of critical raw materials, including rare earth elements from magnets and batteries.

Education

PhD., Shanghai University, China, 1992-1997

Competence and research areas

Computational Thermodynamics
Machine Learning and Reinforcement Learning
Kinetic Modelling
Ferroalloy Process Modelling

Linkedin

https://www.linkedin.com/in/kai-tang-48000940/

ResearchGate

https://www.researchgate.net/profile/Kai-Tang-18

ORCID

https://orcid.org/0000-0002-6657-5187

Contact info

Visiting address:
Alfred Getz' vei 2B
7034 Trondheim