Role and Prospects of Engineering in Nanotechnology: An Overview
DOI:
https://doi.org/10.59247/jppmi.v3i4.143Keywords:
Nanocomputers, Two dimentional, Quantum Computing, computation efficiencyAbstract
Background - The rapid growth of digital technology has resulted in an enormous rise in computing activities, imposing strict requirements on next-generation computing for energy efficiency and area efficiency. For matrix and logic computing, new technologies such as in-memory computing and transistor-based computing have emerged to accommodate the increasing data need.
Nanocomputers - However, in order to meet the demands of the future, new materials are desperately required. In order to expand the range of electronic devices and their applications, new technologies must be created, such as Si complementary metal–oxide–semiconductor technology. Since two-dimensional materials have a wide range of electrical characteristics, they have the potential to improve computation efficiency while allowing further device downscaling.
Conclusion - Paper covers the challenges, pitfalls, and potential applications of integrating nanotechnology and computer science in this overview.
References
Heath, J. R., Kuekes, P. J., Snider, G. S., & Williams, R. S. (1998). A defect-tolerant computer architecture: Opportunities for nanotechnology. Science, 280(5370), 1716-1721.
Goldstein, S., Budiu, M., Mishra, M., &Venkataramani, G. (2003, June). Reconfigurable computing and electronic nanotechnology. In Proceedings IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003 (pp. 132-142). IEEE.
Ulas, D. (2019). Digital transformation process and SMEs. Procedia Computer Science, 158, 662-671.
Ratner, M. A., & Ratner, D. (2003). Nanotechnology: A gentle introduction to the next big idea. Prentice Hall Professional.
Ammu, N., &Irfanuddin, M. (2013). Big data challenges. International Journal of Advanced Trends in Computer Science and Engineering, 2(1), 613-615.
Roco, M. C., & Bainbridge, W. S. (Eds.). (2013). Converging technologies for improving human performance: Nanotechnology, biotechnology, information technology and cognitive science. Springer Science & Business Media.
Wilkins-Diehr, N., Gannon, D., Klimeck, G., Oster, S., &Pamidighantam, S. (2008). TeraGrid science gateways and their impact on science. Computer, 41(11), 32-41.
Zhang, F., Nangreave, J., Liu, Y., & Yan, H. (2014). Structural DNA nanotechnology: state of the art and future perspective. Journal of the American Chemical Society, 136(32), 11198-11211.
Neto, O. P. V. (2014). Intelligent computational nanotechnology: the role of computational intelligence in the development of nanoscience and nanotechnology. Journal of Computational and Theoretical Nanoscience, 11(4), 928-944.
Tucker, A. B. (2004). Computer science handbook. Chapman and Hall/CRC.
Islam, N., & Miyazaki, K. (2010). An empirical analysis of nanotechnology research domains. Technovation, 30(4), 229-237.
Srinivasan, R. (2008). Sources, characteristics and effects of emerging technologies: Research opportunities in innovation. Industrial Marketing Management, 37(6), 633-640.
Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425-465.
Islam, N., & Miyazaki, K. (2009). Nanotechnology innovation system: Understanding hidden dynamics of nanoscience fusion trajectories. Technological forecasting and social change, 76(1), 128-140.
R. Yang et al., “Design and Experiment of 1 THz Slow Wave Structure Fabricated by Nano-CNC Technology,” IEEE Trans. Electron Devices, vol. 69, no. 5, pp. 2656–2661, May 2022.
S. Bellahirich, D. Mezghani, and A. Mami, “Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation,” Energies, vol. 14, no. 17, p. 5217, Aug. 2021.
J. Marot and M. Bensoam, “Telepresence robot, nano-computers and advanced cameras as educational tools,” in 2021 22nd IEEE International Conference on Industrial Technology (ICIT), 2021, pp. 1246–1251.
M. Liu, X. Xi, Y. Han, S. Tan, L. Li, and B. Yan, “A thermal drift correction method for laboratory nano CT based on outlier elimination,” in International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 2022, p. 15.
K. Hammemi and M. Atri, “Implementation of Robust Tracking Algorithm on Nano-Computer,” Indones. J. Electr. Eng. Comput. Sci., vol. 11, no. 2, p. 446, Aug. 2018.
Liu, C., Chen, H., Wang, S., Liu, Q., Jiang, Y. G., Zhang, D. W., ...& Zhou, P. (2020). Two-dimensional materials for next-generation computing technologies. Nature Nanotechnology, 15(7), 545-557.
Stepney, S., Braunstein, S. L., Clark, J. A., Tyrrell, A., Adamatzky, A., Smith, R. E., ...& Partridge, D. (2005). Journeys in non-classical computation I: A grand challenge for computing research. International Journal of Parallel, Emergent and Distributed Systems, 20(1), 5-19.
Nakano, T., Moore, M. J., Wei, F., Vasilakos, A. V., &Shuai, J. (2012). Molecular communication and networking: Opportunities and challenges. IEEE transactions on nanobioscience, 11(2), 135-148.
Taha, T. B., Barzinjy, A. A., Hussain, F. H., & Nurtayeva, T. (2022). Nanotechnology and computer science: Trends and advances. Memories-Materials, Devices, Circuits and Systems, 100011.
Hamza, E. K., & Jaafar, S. N. (2022). Nanotechnology Application for Wireless Communication System. In Nanotechnology for Electronic Applications (pp. 115-130). Singapore: Springer Nature Singapore.
Iasechko, S. V., Pereiaslavska, S., Smahina, O., Lupei, N., Mamchur, L., & Tkachova, O. (2022). Artificial intelligence in the modern educational space: problems and prospects.
Chee, P. L., Toh, W. L., Yew, P. Y., Peng, S., & Kai, D. (2022). Introduction of Nanotechnology and Sustainability.
Srivastava, S., Bhargava, A., Srivastava, S., & Bhargava, A. (2022). Green nanotechnology: an overview. Green Nanoparticles: The Future of Nanobiotechnology, 1-13.
Hunde, B. R., & Woldeyohannes, A. D. (2022). Future prospects of computer-aided design (CAD)–A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing. Results in Engineering, 100478.
Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., ... & Uhlig, S. (2022). AI for next generation computing: Emerging trends and future directions. Internet of Things, 19, 100514.
Yin, Y., & Rogers, J. A. (2022). Introduction: smart materials. Chemical Reviews, 122(5), 4885-4886.
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