Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12252/6186| Title: | Understanding the ML black box with simple descriptors to predict cluster–adsorbate interaction energy |
| Authors: | Agarwal, Sheena Mehta, Shweta Joshi, Kavita |
| Keywords: | Artificial Intelligence Quantum Chemistry Density Functional Theory |
| Issue Date: | 2-Jan-2023 |
| Publisher: | Royal Society of Chemistry |
| Citation: | New J. Chem., 2020, 44, 8545 |
| URI: | http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/6186 |
| Appears in Collections: | NCL Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Understanding_the_ML_black_box_with_simple_descriptors_to_predict_cluster–adsorbate_interaction_energy.pdf | 4.53 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
