# Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)

Article · Maryam Pardakhti, Ehsan Moharreri, David W. Wanik, Steven L. Suib, Ranjan Srivastava

- Archive id: doi:10.1021/acscombsci.7b00056
- Published: 2017-08-11
- Venue: ACS Combinatorial Science
- DOI: https://doi.org/10.1021/acscombsci.7b00056
- PMID: 28800219
- Citations: 254
- Source URL: https://doi.org/10.1021/acscombsci.7b00056
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [AI for Science](https://space-kitty.com/topics/ai-for-science)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.