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Nanomaterials, Volume 11, Issue 7

July 2021 - 240 articles

Cover Story: In emerging artificial intelligence applications, massive matrix operations require high computing speed and energy efficiency. Optical computing can realize high-speed parallel information processing with ultra-low energy consumption on photonic-integrated platforms or in free space, which can effectively meet these domain-specific demands. In this review, we first introduce the principles of photonic matrix computing implemented by three mainstream schemes, and then we review the research progress of optical neural networks (ONNs) based on photonic matrix computing. In addition, we discuss the advantages of optical computing architectures over electronic processors, as well as the current challenges of optical computing, and highlight some promising prospects for future development. View this paper
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Articles (240)

  • Article
  • Open Access
12 Citations
6,020 Views
11 Pages

19 July 2021

Superlattice-structured epitaxial thin films composed of Mn(5%)-doped BiFeO3 and BaTiO3 with a total thickness of 600 perovskite (ABO3) unit cells were grown on single-crystal SrTiO3 substrates by pulsed laser deposition, and their polarization and d...

  • Article
  • Open Access
17 Citations
4,460 Views
12 Pages

19 July 2021

The tensile properties and the corresponding deformation mechanism of the graded 304 stainless steel (ss) at both room and cryogenic temperatures were investigated and compared with those of the coarse-grained (CGed) 304 ss. Gradient structures were...

  • Article
  • Open Access
5 Citations
5,658 Views
13 Pages

Copper Hexacyanoferrate Thin Film Deposition and Its Application to a New Method for Diffusion Coefficient Measurement

  • Jeonghun Yun,
  • Yeongae Kim,
  • Caitian Gao,
  • Moobum Kim,
  • Jae Yoon Lee,
  • Chul-Ho Lee,
  • Tae-Hyun Bae and
  • Seok Woo Lee

19 July 2021

The use of Prussian blue analogues (PBA) materials in electrochemical energy storage and harvesting has gained much interest, necessitating the further clarification of their electrochemical characteristics. However, there is no well-defined techniqu...

  • Review
  • Open Access
57 Citations
6,304 Views
34 Pages

Periodontal and Dental Pulp Cell-Derived Small Extracellular Vesicles: A Review of the Current Status

  • Shu Hua,
  • Peter Mark Bartold,
  • Karan Gulati,
  • Corey Stephen Moran,
  • Sašo Ivanovski and
  • Pingping Han

19 July 2021

Extracellular vesicles (EVs) are membrane-bound lipid particles that are secreted by all cell types and function as cell-to-cell communicators through their cargos of protein, nucleic acid, lipids, and metabolites, which are derived from their parent...

  • Review
  • Open Access
18 Citations
4,237 Views
19 Pages

Advancements in Assessments of Bio-Tissue Engineering and Viable Cell Delivery Matrices Using Bile Acid-Based Pharmacological Biotechnologies

  • Armin Mooranian,
  • Melissa Jones,
  • Corina Mihaela Ionescu,
  • Daniel Walker,
  • Susbin Raj Wagle,
  • Bozica Kovacevic,
  • Jacqueline Chester,
  • Thomas Foster,
  • Edan Johnston and
  • Momir Mikov
  • + 1 author

19 July 2021

The utilisation of bioartificial organs is of significant interest to many due to their versatility in treating a wide range of disorders. Microencapsulation has a potentially significant role in such organs. In order to utilise microcapsules, accura...

  • Article
  • Open Access
5 Citations
2,953 Views
11 Pages

Tunable Transmissive Terahertz Linear Polarizer for Arbitrary Linear Incidence Based on Low-Dimensional Metamaterials

  • Zhenyu Yang,
  • Dahai Yu,
  • Huiping Zhang,
  • Anqi Yu,
  • Xuguang Guo,
  • Yuxiang Ren,
  • Xiaofei Zang,
  • Alexei V. Balakin and
  • Alexander P. Shkurinov

18 July 2021

In this work, we propose a structure consisting of three metamaterial layers and a metallic grating layer to rotate the polarization of arbitrary linearly polarized incidence to the y-direction with high transmissivity by electrically tuning these me...

  • Article
  • Open Access
27 Citations
5,509 Views
20 Pages

A Green Nanostructured Pesticide to Control Tomato Bacterial Speck Disease

  • Daniele Schiavi,
  • Rosa Balbi,
  • Stefano Giovagnoli,
  • Emidio Camaioni,
  • Ermelinda Botticella,
  • Francesco Sestili and
  • Giorgio Mariano Balestra

18 July 2021

Bacterial speck disease, caused by Pseudomonas syringae pv. tomato (Pst), is one of the most pervasive biological adversities in tomato cultivation, in both industrial and in table varieties. In this work synthesis, biochemical and antibacterial prop...

  • Article
  • Open Access
21 Citations
5,472 Views
15 Pages

Exosomal Surface Protein Detection with Quantum Dots and Immunomagnetic Capture for Cancer Detection

  • Vojtech Vinduska,
  • Caleb Edward Gallops,
  • Ryan O’Connor,
  • Yongmei Wang and
  • Xiaohua Huang

18 July 2021

Exosomes carry molecular contents reflective of parental cells and thereby hold great potential as a source of biomarkers for non-invasive cancer detection and monitoring. However, simple and rapid exosomal molecular detection remains challenging. He...

  • Article
  • Open Access
21 Citations
3,481 Views
22 Pages

17 July 2021

In recent years, unconventional oils have shown a huge potential for exploitation. Abundant reserves of carbonate asphalt rocks with a high oil content have been found; however, heavy oil and carbonate minerals have a high interaction force, which ma...

  • Article
  • Open Access
65 Citations
8,478 Views
16 Pages

pH-Responsive Chitosan/Alginate Polyelectrolyte Complexes on Electrospun PLGA Nanofibers for Controlled Drug Release

  • Jean Schoeller,
  • Fabian Itel,
  • Karin Wuertz-Kozak,
  • Sandra Gaiser,
  • Nicolas Luisier,
  • Dirk Hegemann,
  • Stephen J. Ferguson,
  • Giuseppino Fortunato and
  • René M. Rossi

17 July 2021

The surface functionalization of electrospun nanofibers allows for the introduction of additional functionalities while at the same time retaining the membrane properties of high porosity and surface-to-volume ratio. In this work, we sequentially dep...

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Nanomaterials - ISSN 2079-4991