Large-Scale Quantitative Structure–Property Relationship (QSPR) Analysis of Methane Storage in Metal–Organic Frameworks

By Michael Fernández, Tom K. Woo, Christopher E. Wilmer, Randall Q. Snurr. 2013

194 citations recorded by the source corpus.

Subfields: Inorganic Chemistry, Process Chemistry and Technology

View Paper: https://www.semanticscholar.org/paper/54fac36404a03b5af9761733ac8bb2b8a05fbd63

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In Inorganic Chemistry

1. Zhen Zhou

Citations in the corpus

• Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design (2019, unknown): “Fernandez et al. [64] reported the first QSPR analysis of MOFs for methane (CH 4 ) storage.”
• Machine learning: Accelerating materials development for energy storage and conversion (2020, methodology): “The gas adsorption capacity, including methane, N2 and CO2, has been investigated.(83,193,194) Atomic property weighted radial distribution function (AP-RDF) was introduced to capture the chemical and geometric features.”