@article{ART003342586},
author={Mohammadi Mohammad and Bazargan Lari Yousef and Daneshmand Farhang and Nazemosadat Seyed Mohammad Reza},
title={AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review},
journal={Carbon Letters},
issn={1976-4251},
year={2026},
volume={36},
number={2},
pages={547-577},
doi={10.1007/s42823-025-01001-6}
TY - JOUR
AU - Mohammadi Mohammad
AU - Bazargan Lari Yousef
AU - Daneshmand Farhang
AU - Nazemosadat Seyed Mohammad Reza
TI - AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review
JO - Carbon Letters
PY - 2026
VL - 36
IS - 2
PB - Korean Carbon Society
SP - 547
EP - 577
SN - 1976-4251
AB - The convergence of artificial intelligence (AI) and carbon nanotube (CNT) chemistry is accelerating innovations in the synthesis, functionalization, and advanced applications of carbon-based nanomaterials. This review highlights recent AI-driven methodologies, including neural networks, ensemble learning, metaheuristics, and hybrid frameworks that are redefining the design, surface engineering, and structure–property relationships of CNTs. Special attention is given to their roles in clean energy technologies, polymer nanocomposites, environmental systems, and nanoelectronics. Advances such as autonomous synthesis guided by deep learning, high-throughput experimentation, and AI-enabled property prediction are critically reviewed. Challenges including data fragmentation, class imbalance, and lack of benchmarking are addressed, alongside future directions such as physics-informed machine learning, robotics integration, and multi-objective optimization. This review positions AI as a disruptive catalyst in advanced CNT research, offering intelligent automation and predictive insights across diverse carbon-material applications.
KW - Carbon nanotubes (CNTs) Artificial intelligence (AI) Machine learning (ML) Surface functionalization Autonomous synthesis Structure–Property relationships
DO - 10.1007/s42823-025-01001-6
ER -
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang and Nazemosadat Seyed Mohammad Reza. (2026). AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review. Carbon Letters, 36(2), 547-577.
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang and Nazemosadat Seyed Mohammad Reza. 2026, "AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review", Carbon Letters, vol.36, no.2 pp.547-577. Available from: doi:10.1007/s42823-025-01001-6
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang, Nazemosadat Seyed Mohammad Reza "AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review" Carbon Letters 36.2 pp.547-577 (2026) : 547.
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang, Nazemosadat Seyed Mohammad Reza. AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review. 2026; 36(2), 547-577. Available from: doi:10.1007/s42823-025-01001-6
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang and Nazemosadat Seyed Mohammad Reza. "AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review" Carbon Letters 36, no.2 (2026) : 547-577.doi: 10.1007/s42823-025-01001-6
Mohammadi Mohammad; Bazargan Lari Yousef; Daneshmand Farhang; Nazemosadat Seyed Mohammad Reza. AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review. Carbon Letters, 36(2), 547-577. doi: 10.1007/s42823-025-01001-6
Mohammadi Mohammad; Bazargan Lari Yousef; Daneshmand Farhang; Nazemosadat Seyed Mohammad Reza. AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review. Carbon Letters. 2026; 36(2) 547-577. doi: 10.1007/s42823-025-01001-6
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang, Nazemosadat Seyed Mohammad Reza. AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review. 2026; 36(2), 547-577. Available from: doi:10.1007/s42823-025-01001-6
Mohammadi Mohammad, Bazargan Lari Yousef, Daneshmand Farhang and Nazemosadat Seyed Mohammad Reza. "AI-driven strategies for the design and functionalization of carbon nanotubes: a critical review" Carbon Letters 36, no.2 (2026) : 547-577.doi: 10.1007/s42823-025-01001-6
