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Understanding the performance of metals is related to its structure at many different length scales, from the atomic level all the way up to the macro-sized object. Being able to knit these length scales together for their chemistry, microstructure and defect structure is critical to deisgning new parts for high performance applications, sch as power generation and aerospace. Correlative microscopy uses multiple techniques to image the same material at different length scales but knitting all of this information together is not straightfowarded. In this project, we will work on developing correlative microscopy techniques and workflows related to metallurgical applications.
Nabil Bassim
Fibics Incorporated
Engineering
Professional, scientific and technical services
McMaster University
Accelerate
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