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| Open AccessIdentifying chemically similar multiphase nanoprecipitates in compositionally complex non-equilibrium oxides via machine learning
Characterizing fission products in uranium dioxide nuclear fuel is important for predicting its long-term properties. Here, machine learning is used to mine microscopy images of precipitates and nanoscale gas bubbles in high-burn-up fuels, providing detailed structural insight of nanoscale fission products.
- Keyou S. Mao
- , Tyler J. Gerczak
- & Philip D. Edmondson
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