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Abstract

This article examines the emerging field of AI-based nanotechnology, highlighting its potential to revolutionize various industries and drive patent innovations that bridge cutting-edge science and practical applications. The article expounds on the synergistic relationship between artificial intelligence's data-processing capabilities and nanotechnology's manipulation at the nanoscale. Within the medical field, for instance, this synergy has the potential to facilitate precise cancer treatment and early disease detection, with promising patent-worthy breakthroughs in diagnostic tools and therapeutic delivery systems. The field of manufacturing stands to benefit from the optimization of nanomaterial production, where AI-driven processes are generating novel methodologies that are eligible for patent protection. The article continues by exploring the potential of AI-based 3D printing and MEMS applications, highlighting the capabilities that these technologies enhance. It is noteworthy that a significant number of these technologies are currently undergoing the patenting process, which is expected to expedite their commercialization. Notwithstanding the challenges, including data misuse and integration issues that are both ethically and technically complex, the potential benefits, such as fostering a robust patent landscape, justify the risks. The article advocates for collaboration among scientists, policymakers, and industry to promote responsible research and development, ensuring that the transformative potential of this combination is harnessed through strategic patent management and innovation, thereby offering solutions to global challenges.

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2025-06-27
2025-09-14

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References

  1. Lal M.A. Singh A. Mzik R. Lanjan A. Srinivasan S. AI-based nano-scale material property prediction for li-ion batteries. Batteries 2024 10 2 51 10.3390/batteries10020051
    [Google Scholar]
  2. LeCun Y. Bengio Y. Hinton G. Deep learning. Nature 2015 521 7553 436 444 10.1038/nature14539 26017442
    [Google Scholar]
  3. Nosonovsky M. Aglikov A.S. Triboinformatics: Machine learning methods for frictional instabilities. Facta Univ-Ser Mech 2024 22 3 423 433
    [Google Scholar]
  4. Ha H Müller S Baumann RP Hwang B Peakforce quantitative nanomechanical mapping for surface energy characterization on the nanoscale: A mini-review. Facta Univ-Ser Mech 2024 22 1 001 10.22190/FUME221126001H
    [Google Scholar]
  5. He J.H. Periodic solution of a micro-electromechanical system. Facta Univ-Ser Mech 2024 22 2 187 198
    [Google Scholar]
  6. He J.H. Bai Q.M. Luo Y.C. Kuangaliyeva D, Ellis G, Yessetov Y, Skrzypacz P. Modeling and numerical analysis for MEMS graphene resonator. Frontiers. in Physics. 2025 13 1551969 10.3389/fphy.2025.1551969
    [Google Scholar]
  7. Zhang S Zhang HL Wang YL Li ZY Dynamic properties and numerical simulations of a fractional phytoplankton-zooplankton ecological model. Networks and Heterogeneous Media 2025 20 2 648 669 10.3934/nhm.2025028
    [Google Scholar]
  8. He J.H. An old babylonian algorithm and its modern applications. Symmetry 2024 16 11 1467 10.3390/sym16111467
    [Google Scholar]
  9. Jain M. Vats S. Pahwa C. Chahal A. Ali K. Past, present and future perspective of artificial intelligence in healthcare and nanotechnology: A communication. J. Clin. Diagn. Res. 2024 18 11 KM1 KM3 10.7860/JCDR/2024/73656.20316
    [Google Scholar]
  10. Chou W.C. Chen Q. Yuan L. An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice. J. Control. Release 2023 361 53 63 10.1016/j.jconrel.2023.07.040 37499908
    [Google Scholar]
  11. Sowndarrajan P.T. Existence and optimal control analysis of acid-mediated tumor invasion model. Adv Differ Equ Control Process 2023 30 1 53 72 10.17654/0974324323004
    [Google Scholar]
  12. Song S.J. Kyungbaek L. Lee H. Method for analyzing relationship between major histocompatibility complex (MHC) and peptide using artificial intelligence technology, involves obtaining first prediction result including binding affinities between MHC types. Patent KR2749467-B1 2025
  13. Mir S.U.I. Thota V.S.K. Mandalapu N.S. Artificial intelligence (AI)-based system for brain tumor detection, comprises plural of medical imaging sensors configured to collect real-time data, AI module integrated with medical imaging sensors, and AI module being configured to analyze collected data and detect brain tumor patterns. Patent IN202411087621, 2024
    [Google Scholar]
  14. Li X.X. Luo Y.C. Alsolami A.A. Elucidating the fractal nature of the porosity of nanofiber members in the electrospinning process. Fractals 2024 32 6 2450109 10.1142/S0218348X24501093
    [Google Scholar]
  15. Tian Y. Shao Y. Shen Y. He J-H. A variational principle of an electrohydrodynamic fluid. Mod. Phys. Lett. A 2024 2450223 10.1142/S0217732324502237
    [Google Scholar]
  16. Venkata S.S.R.N. Narne H. System for performing secure data processing in cybersecurity applications using generative artificial intelligence (AI) and machine learning (ML) algorithms, has machine learning-based anomaly detection module for monitoring realtime data streams and identifying deviations from expected patterns Patent IN202441096298-A 2024
  17. Rojek I. Mikołajewski D. Macko M. Szczepański Z. Dostatni E. Optimization of extrusion-based 3D printing process using neural networks for sustainable development. Materials 2021 14 11 2737 10.3390/ma14112737 34067326
    [Google Scholar]
  18. Vidler C. Halwes M. Kolesnik K. Dynamic interface printing. Nature 2024 634 8036 1096 1102 10.1038/s41586‑024‑08077‑6 39478212
    [Google Scholar]
  19. Kong Y.L. Multi-material 3D printing guided by machine vision. Nature 2023 623 7987 488 490 10.1038/d41586‑023‑03420‑9 37968521
    [Google Scholar]
  20. Park B.K. Antenna package for e.g. artificial intelligence, comprises antenna, low dielectric constant layer including porous ceramic structure, hollow nano silica coating layer positioned at uppermost and/or lowermost portion of the antenna package and heat dissipation layer. Patent KR2728406-B1 2024
  21. Abdolkarimi E.S. Mosavi M.R. Impact assessment of efficient denoising techniques in AI-based low-cost INS/GPS integration during blockage of GPS satellites. Arab. J. Sci. Eng. 2022 47 11 14583 14600 10.1007/s13369‑022‑06898‑z
    [Google Scholar]
  22. Reinmuth J. Three-axis micro-electromechanical system acceleration sensor, has opposing electrode systems arranged, such that MEMS acceleration sensor includes four-fold rotational symmetry with respect to rotation axis running perpendicular to substrate. Patent DE102023206146-A1 2025
  23. Tomar A. Jain J. Artificial intelligence-based system for providing speech recognition services in various real-world environments e.g. noisy public spaces, has artificial intelligence processing unit configured to execute deep learning algorithms. Patent IN202411091249-A 2024
  24. Priyanshu Gupta N. Autonomous artificial intelligence (AI)-driven target engagement system with real-time tracking and projectile mechanism for use in automated defense and security system, has computer vision sub-system provided with camera for capturing video data utilized for target detection and OpenCV. Patent IN202411094556-A 2024
  25. Singh S.K. Gilhotra R. Real-time artificial intelligence-powered vision-based quality control system for industrial automation, has HMI display panel for providing intuitive and real-time interface, and wireless fidelity module for enabling seamless cloud connectivity, and allowing remote access to quality inspection data. Patent IN202411099075-A 2024
  26. Prakash K. Mathe S.E. Murthy C.B. System for detecting potholes and geotagging detected pothole in real-time using artificial intelligence and computer vision models, has memory coupled to processors, where memory stores instructions, which are executed by processors, and processors detect potholes on road surface. Patent IN202441103740-A 2024
  27. Sharma A.A.I. AI and ML-powered vision system for real-time wildlife monitoring and conflict mitigation includes solar-powered hardware comprises GPS Module, lora RF module, arducam IMX219 camera module. Patent IN202411099084-A 2025
  28. He J.H. Transforming frontiers: The next decade of differential equations and control processes. Adv Differ Equ Control Process 2025 32 1 2589 10.59400/adecp2589
    [Google Scholar]
/content/journals/nanotec/10.2174/0118722105384013250623094407
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AI-based Nanotechnology: Breakthroughs, Applications, Challenges, and the Road Ahead
Bentham Science Publishers ; https://doi.org/10.2174/0118722105384013250623094407
/content/journals/nanotec/10.2174/0118722105384013250623094407
/content/journals/nanotec/10.2174/0118722105384013250623094407
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  • Article Type:     Review Article
Keywords: ethical and technical challenges ; manufacturing ; AI-based nanotechnology ; 3D printing ; industry collaboration ; physics-informed AI technology ; medical applications

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