Cloud Point Temperature of Thermoresponsive Systems: A Predictive Approach in Data Scarcity Conditions

Marcela Elisabeth Penoff, Facundo Ignacio Altuna, Luis Alejandro Miccio

Open source

DOI: 10.3390/app16052557
Published: 03
Container: Applied Sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/app16052557,
  title = {Cloud Point Temperature of Thermoresponsive Systems: A Predictive Approach in Data Scarcity Conditions},
  author = {Marcela Elisabeth Penoff and Facundo Ignacio Altuna and Luis Alejandro Miccio},
  year = {2026},
  journal = {Applied Sciences},
  doi = {10.3390/app16052557},
  url = {https://doi.org/10.3390/app16052557}
}

RIS

TY  - JOUR
TI  - Cloud Point Temperature of Thermoresponsive Systems: A Predictive Approach in Data Scarcity Conditions
AU  - Marcela Elisabeth Penoff
AU  - Facundo Ignacio Altuna
AU  - Luis Alejandro Miccio
PY  - 2026
JO  - Applied Sciences
DO  - 10.3390/app16052557
UR  - https://doi.org/10.3390/app16052557
ER  -

APA

Penoff, M. E., Altuna, F. I., & Miccio, L. A. (2026). Cloud Point Temperature of Thermoresponsive Systems: A Predictive Approach in Data Scarcity Conditions. Applied Sciences. https://doi.org/10.3390/app16052557

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doaj · retrieved 2026-09-25T03:21:31.936Z