New Technologies Call for New Pathways: How Does Machine Learning Pave the Way for Discovering Optimal Green Plastic Additives?

Hao Z, Wang Q, Luo Y

DOI: 10.1021/envhealth.5c00036
Published: 2025 Aug 15
Container: Environment & health (Washington, D.C.)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/envhealth.5c00036,
  title = {New Technologies Call for New Pathways: How Does Machine Learning Pave the Way for Discovering Optimal Green Plastic Additives?},
  author = {Hao Z and Wang Q and Luo Y},
  year = {2025},
  journal = {Environment \& health (Washington, D.C.)},
  doi = {10.1021/envhealth.5c00036},
  url = {https://doi.org/10.1021/envhealth.5c00036}
}

RIS

TY  - JOUR
TI  - New Technologies Call for New Pathways: How Does Machine Learning Pave the Way for Discovering Optimal Green Plastic Additives?
AU  - Hao Z
AU  - Wang Q
AU  - Luo Y
PY  - 2025
JO  - Environment & health (Washington, D.C.)
DO  - 10.1021/envhealth.5c00036
UR  - https://doi.org/10.1021/envhealth.5c00036
ER  -

APA

Z, H., Q, W., & Y, L. (2025). New Technologies Call for New Pathways: How Does Machine Learning Pave the Way for Discovering Optimal Green Plastic Additives?. Environment & health (Washington, D.C.). https://doi.org/10.1021/envhealth.5c00036

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pubmed · retrieved 2026-09-26T05:32:51.002Z