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leverages the latest advancements in artificial intelligence/ machine learning (AI/ML) and high-performance computing to accelerate the discovery, design and synthesis of advanced functional materials
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synthetic and additional characterization needs. High-performance computing facilities will also be made available and the successful candidate will use density functional theory calculations to predict
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mechanical properties of functional materials such as Nd-Fe-B and Sm-Co magnets iii. Developing high-performance magnets using non-critical elements like Ce, La, and mischmetal iv. Separation, recycling, and
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with other PIs in the Division of Chemical and Biological Sciences and the Division of Materials Sciences and Engineering for synthetic and additional characterization needs. High-performance computing
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candidate will work with research groups to develop quantum materials/devices and advanced electron microscopy techniques. The incumbent’s duties includes: initiate, design, and perform chemical and