Kamrun Nahar, research associate, Center for Neural Engineering, along with Mirna Urquidi-Macdonald, professor of engineering science and mechanics, used data mining to find the most relevant information about the corrosion-resistant properties of Alloy 22, an alloy candidate for nuclear-waste canisters. They reported their findings in the latest issue of Corrosion Science.

"Data is collected when a phenomenon is poorly understood and laboratory experiments are carried out," said Kamrun. "Large amounts of data exist everywhere. Every area of study has terabytes of information that could be used better by using data mining techniques to extract valuable information from data."

Alloy 22 is known for its corrosion-resistant properties and is most commonly used where resistance to rust and damage is crucial, such as in radioactive waste containment. Alloy 22 also is used in waste incinerators, pollution control, nuclear-fuel reprocessing and chemical manufacturing.

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*Source Penn State Live