Explainable Machine Learning Combined with Feature Selection and Bayesian Optimization for Predicting Rare Earth Elements and Yttrium in Coal: A Case Study of China’s Five Major Coal-Bearing Regions来源：ACS PublicationsDetermining the concentrations of rare earth elements and yttrium (REY) in coal is essential for evaluating coal-hosted critical metal resources and understanding their geochemical controls. However, conventional laboratory analyses are costly, time-consuming, and spatially sparse, limiting regional-scale assessment. In this study, we compiled 527 coal samples from 30 coalfields a...
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2026
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来源 ：ACS PublicationsCu-SSZ-13 catalysts have been demonstrated with excellent performance for selective catalytic reduction of NOx with NH3 (NH3-SCR), but remain a great challenge to be stable after hydrothermal aging, specifically in the scenario of a hydrogen combustion engine exhaust containing high water partial pressure. Here, we employ first-principles computational calculations to screen a series of rare earth (RE) modified Cu-SSZ-13, to investigate the impact on the low-temperature activity after hydrothermal aging. Y-doped Cu-SSZ-13 exhibits a T90 window of 175-555 ℃ after h...
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2026
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来源：ACS PublicationsThe integration of diverse electronic phenomena, such as magnetism and nontrivial topology, into a single low-dimensional system gives rise to unusual quantum effects. Here we combine two 2D topological insulators, α-bismuthene and β-silicene, with a Ho monolayer. Bismuthene is synthesized within a rarely realized square-like lattice in the black phosphorus monolayer structure, and its interfacing with the silicene minimizes the unwanted hybridization with the Ho monolayer, thus facilitating a quasi-free-standing behavior. The spectroscopy observations together with ab initi...
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2026
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来源：ACS PublicationsRare-earth elements (REEs: La–Lu, Y, Sc) are critical to modern technology; however, their acquisition, purification, and separation from each other can be challenging, and current methods are often environmentally damaging. Metal-binding polymers are a promising material class to improve these methods, but fundamental structure–property relationships have yet to be fully developed. Inspired by nature’s use of solvation- and conformation-driven effects to control metal-binding interactions, we hypothesized that modifying the molecular environment around the binding sites on ...
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2026
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