Literature DB >> 24121558

Artificial intelligence in nanotechnology.

G M Sacha1, P Varona.   

Abstract

During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biological nanosystems, the classification of material properties at the nanoscale, theoretical approaches and simulations in nanoscience, and generally in the design of nanodevices. Current trends and future perspectives in the development of nanocomputing hardware that can boost artificial-intelligence-based applications are also discussed. Convergence between artificial intelligence and nanotechnology can shape the path for many technological developments in the field of information sciences that will rely on new computer architectures and data representations, hybrid technologies that use biological entities and nanotechnological devices, bioengineering, neuroscience and a large variety of related disciplines.

Mesh:

Year:  2013        PMID: 24121558     DOI: 10.1088/0957-4484/24/45/452002

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  9 in total

1.  Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow.

Authors:  Muhammad Asif Zahoor Raja; Mohammad Sabati; Nabeela Parveen; Muhammad Awais; Saeed Ehsan Awan; Naveed Ishtiaq Chaudhary; Muhammad Shoaib; Hani Alquhayz
Journal:  Sci Rep       Date:  2021-11-19       Impact factor: 4.379

2.  Plasmonic nanostructure design and characterization via Deep Learning.

Authors:  Itzik Malkiel; Michael Mrejen; Achiya Nagler; Uri Arieli; Lior Wolf; Haim Suchowski
Journal:  Light Sci Appl       Date:  2018-09-05       Impact factor: 17.782

Review 3.  A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence.

Authors:  Gabriel A Silva
Journal:  Front Neurosci       Date:  2018-11-16       Impact factor: 4.677

4.  Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.

Authors:  Weijun Hu; Yan Zhang; Lijie Li
Journal:  Sensors (Basel)       Date:  2019-08-17       Impact factor: 3.576

5.  Application of Machine Learning in 3D Bioprinting: Focus on Development of Big Data and Digital Twin.

Authors:  Jia An; Chee Kai Chua; Vladimir Mironov
Journal:  Int J Bioprint       Date:  2021-01-29

Review 6.  The significance of bioengineered nanoplatforms against SARS-CoV-2: From detection to genome editing.

Authors:  Parichehr Hassanzadeh
Journal:  Life Sci       Date:  2021-03-04       Impact factor: 6.780

Review 7.  Multifunctional biomolecule nanostructures for cancer therapy.

Authors:  Jing Wang; Yiye Li; Guangjun Nie
Journal:  Nat Rev Mater       Date:  2021-05-19       Impact factor: 66.308

Review 8.  Nanostructures: a platform for brain repair and augmentation.

Authors:  Ruxandra Vidu; Masoud Rahman; Morteza Mahmoudi; Marius Enachescu; Teodor D Poteca; Ioan Opris
Journal:  Front Syst Neurosci       Date:  2014-06-20

9.  Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale.

Authors:  Kan Yao; Rohit Unni; Yuebing Zheng
Journal:  Nanophotonics       Date:  2019-01-25       Impact factor: 8.449

  9 in total

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