Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
J Am Chem Soc. 2012 Dec 5;134(48):19619-27. doi: 10.1021/ja3040834. Epub 2012 Nov 20.
Ab initio-based high-throughput computing and screening are now being used to search and predict new functional materials and novel compounds. However, systematic experimental validation on the predictions remains highly challenging, yet desired. Careful comparison between computational predictions and experimental results is sparse in the literature. Here we report on a systematic experimental validation on previously presented computational predictions of a novel alkali carbonophosphate family of compounds. We report the successful hydrothermal synthesis and structural characterization of multiple sodium carbonophosphates. The experimental conditions for formation of the carbonophosphates and the computational results are compared and discussed. We also demonstrate topotactic chemical de-sodiation of one of the compounds, indicating the potential use of this novel class of compounds as Li(+) or Na(+) insertion electrodes.
基于从头算的高通量计算和筛选现在被用于搜索和预测新的功能材料和新的化合物。然而,对这些预测进行系统的实验验证仍然极具挑战性,但也是人们所期望的。文献中对计算预测和实验结果的仔细比较很少。在这里,我们对以前提出的新型碱金属碳磷酸盐化合物家族的计算预测进行了系统的实验验证。我们报告了多种磷酸钠的成功水热合成和结构表征。比较和讨论了形成碳磷酸盐的实验条件和计算结果。我们还展示了其中一种化合物的拓扑化学脱钠,表明这种新型化合物有望用作锂离子或钠离子嵌入电极。