NANOPARTICLE PHYSICS AND ARTIFICIAL INTELLIGENCE: A NEW LEVEL OF MODELING AND ANALYSIS
Keywords:
Nanoparticle physics, artificial intelligenceAbstract
This article discusses the integration of nanoparticle physics and artificial intelligence (AI) technologies and the importance of these areas in modern science and technology. In particular, the effectiveness of using artificial neural networks, machine learning, and other AI methods in modeling the physical properties of nanoparticles is considered. This approach serves as an important tool for identifying, optimizing, and implementing new properties of nanoparticles.References
Foydalanilgan adabiyotlar:
Bhushan, B. (Ed.). (2017). Springer Handbook of Nanotechnology. Springer.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
Razi, P., & Hassani, M. (2020). “Application of artificial intelligence in nanoparticle design: a review.” Nanotechnology Reviews, 9(1), 112–127.
Zhang, Y., & Wang, L. (2018). “Machine learning for nanomaterial property prediction.” Journal of Materials Chemistry C, 6(30), 7914–7926.
Karpatne, A., Atluri, G., Faghmous, J. H., et al. (2017). “Theory-guided data science: A new paradigm for scientific discovery.” IEEE Transactions on Knowledge and Data Engineering, 29(10), 2318–2331
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Abdunabiyeva Maftunaxon Solijon qizi
This work is licensed under a Creative Commons Attribution 4.0 International License.
(+998)90 142-39-38
m.z.abdutolibov@gmail.com
@universal_jurnal
House 189 Kashgar Street, Marhamat district, Andijan region