Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 41 min ago
Peer-reviewedLicence not statedComposites Part A Applied Science and Manufacturing

Artificial intelligence and machine learning in composite materials: A comprehensive literature review and bibliometric analysis

  1. 1University of Washington, Seattle, WA 98195, USA

Related

  1. Comprehensive application of artificial intelligence in preserved ratio impaired spirometry: A systematic literature review
    Qian Wu, Hui Guo, Ruihan Li +3
    PLOS OnePeer-reviewedCC BY 4.0Full textOrganic chemistryPLOS
  2. Artificial Intelligence Applications for Composite Materials: A Review
    Nada S. Alharthi, Laila M. Alqahtani, Albatool A. Abaalkhail +4
    PolymersPeer-reviewedCC BYFull textMaterials & polymersEurope PMCCrossref
  3. Bone morphogenetic protein 4 meets artificial intelligence: a comprehensive review of AI-driven advances in drug discovery, structural modeling, and clinical translation
    Wanli Sun, Tongtong Huo, Zhewei Ye +3
    Frontiers in molecular biosciencesPeer-reviewedCC BYFull textMedicinal chemistry & drug discoveryEurope PMCPMC
  4. Artificial Intelligence and Machine Learning Model Implementation for UC Irvine Dataset 322
    Netra Velu, Alagumeenal Rajagopal, Singaravelu Velayudham
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  5. Integrating artificial intelligence and molecular simulation for peptide discovery: limitations, validation and decision-centered workflows
    Xu Wu, Wei Fu
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
BibTeX
@article{fu2026artificial,
  title = {{Artificial intelligence and machine learning in composite materials: A comprehensive literature review and bibliometric analysis}},
  author = {Huilong Fu and Amirali Eskandariyun and Paulina Portales Picazo and Kendall A. Johnson and Aric Morton and Mathew Wynn and Navid Zobeiry},
  journal = {Composites Part A Applied Science and Manufacturing},
  year = {2026},
  month = jul,
  doi = {10.1016/j.compositesa.2026.110092},
  url = {https://hdl.handle.net/1773/57578},
}
RIS
TY  - JOUR
TI  - Artificial intelligence and machine learning in composite materials: A comprehensive literature review and bibliometric analysis
AU  - Huilong Fu
AU  - Amirali Eskandariyun
AU  - Paulina Portales Picazo
AU  - Kendall A. Johnson
AU  - Aric Morton
AU  - Mathew Wynn
AU  - Navid Zobeiry
PY  - 2026
DA  - 2026/07/11
JO  - Composites Part A Applied Science and Manufacturing
DO  - 10.1016/j.compositesa.2026.110092
UR  - https://hdl.handle.net/1773/57578
SN  - 1359-835X
SN  - 1878-5840
ER  -