摘要：Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs) doi:10.1021/acscombsci.7b00056Pardakhti MMoharreri EWanik DSuib SLSrivastava RACS Comb SciACS combinatorial science...http://www.ncbi.nlm.nih.gov/pubmed/28800219

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