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Combinatorial experiments aim to create large amounts of data and information, and managing that data is a challenge. This article will focus on how to scientifically interpret the data generated from combinatorial experiments and high-throughput screening.
Materials informatics integrated into undergraduate and graduate materials education is a key component and critical issue to address the nation’s shortage of well-trained, future scientists.
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