
The deliverable D2.5: “ANIPH AI Predictive Tool” presents the development, validation, and deployment of a suite of machine learning (ML) models designed to predict thermal, rheological, biodegradation, cytotoxicity and ecotoxicity properties of polyhydroxyalkanoate (PHA)-based polymers within the ANIPH project. *This deliverable has not yet been officially approved by the European Commission and should be considered a draft.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
