Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives.

Vergadou N, Constantoudis V

DOI: 10.1002/cplu.202500267
Published: 2025 Dec 10
Container: ChemPlusChem
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/cplu.202500267,
  title = {Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives.},
  author = {Vergadou N and Constantoudis V},
  year = {2025},
  journal = {ChemPlusChem},
  doi = {10.1002/cplu.202500267},
  url = {https://doi.org/10.1002/cplu.202500267}
}

RIS

TY  - JOUR
TI  - Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives.
AU  - Vergadou N
AU  - Constantoudis V
PY  - 2025
JO  - ChemPlusChem
DO  - 10.1002/cplu.202500267
UR  - https://doi.org/10.1002/cplu.202500267
ER  -

APA

N, V., & V, C. (2025). Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives.. ChemPlusChem. https://doi.org/10.1002/cplu.202500267

Source records

pubmed · retrieved 2026-09-25T00:08:43.038Z
europe-pmc · retrieved 2026-09-25T00:08:43.059Z