Published June 7, 2022
| Version v1
Dataset
Open
Characterization data for the manuscript: "Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF"
Authors/Creators
- 1. EPFL
Description
This entry contains characterization data for the manuscript "Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF", which we exported from the electronic lab notebook (ELN).
To visualize the data in this dataset: open entry
Notes
This work is part of the PrISMa Project (299659), funded through the ACT Programme (Accelerating CCS Technologies, Horizon 2020 Project 294766). Financial contributions from the Department for Business, Energy & Industrial Strategy (BEIS) together with extra funding from the NERC and EPSRC Research Councils, United Kingdom, the Research Council of Norway (RCN), the Swiss Federal Office of Energy (SFOE), and the U.S. Department of Energy are gratefully acknowledged. Additional financial support from TOTAL and Equinor is also gratefully acknowledged. S.M.M.\ acknowledges support from the Swiss National Science Foundation (SNSF) under Grant P2ELP2_195155.
Files
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Files
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