Home ›
Entities
› academia
› Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure
Research article (Water Research, 2023) · cited 32× · AI/ML
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure
Summary
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure is a scholarly article[1].
Key Facts
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-machine-learning-approaches-to-identify-candidate-persistent-mobile-and-toxic-pmt-and-very-persistent-and-ver
MLA“Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-machine-learning-approaches-to-identify-candidate-persistent-mobile-and-toxic-pmt-and-very-persistent-and-ver.
BibTeX@misc{4ortxyz_developing-machine-learning-approaches-to-identify-candidate-persistent-mobile-and-toxic-pmt-and-very-persistent-and-ver_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure}}, year = {2026}, url = {https://4ort.xyz/entity/developing-machine-learning-approaches-to-identify-candidate-persistent-mobile-and-toxic-pmt-and-very-persistent-and-ver}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure — https://4ort.xyz/entity/developing-machine-learning-approaches-to-identify-candidate-persistent-mobile-and-toxic-pmt-and-very-persistent-and-ver (retrieved 2026-05-24)
