| _version_ | 1866902075654275072 |
|---|---|
| author | CiTOS-ULiege |
| author_facet | CiTOS-ULiege |
| contents | <p>This Python script automates the analysis of raw 1H-NMR kinetic data through a built-in non-negative Tucker tensor decomposition, providing an estimation of the number of chemical species present.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15584367 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CiTOS-ULiege/nmr_tensor_analysis: Tools for Computer-Aided Kinetic Modeling (Part 1) : NMR_Tensor_Analysis CiTOS-ULiege <p>This Python script automates the analysis of raw 1H-NMR kinetic data through a built-in non-negative Tucker tensor decomposition, providing an estimation of the number of chemical species present.</p> |
| title | CiTOS-ULiege/nmr_tensor_analysis: Tools for Computer-Aided Kinetic Modeling (Part 1) : NMR_Tensor_Analysis |
| url | https://doi.org/10.5281/zenodo.15584367 |