Randomized trial investigates dye removal efficiency in metal-organic frameworks, suggesting optimized synthesis methods for improved performance.
Traditional MOF design often maximizes generic metrics such as BET surface area and crystallinity, assuming they universally predict performance. We present a machine-learning-guided optimization framework for MIL-100(Fe) from experimentally synthesized...
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Asl et al. (2026) studied this question.
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