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Nanomaterials
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Linear and Nonlinear Optical Properties of Nanomaterials
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Linear and Nonlinear Optical Properties of Nanomaterials

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanophotonics Materials and Devices".

Deadline for manuscript submissions: closed (4 April 2025) | Viewed by 3103

Special Issue Editors

Dr. Bo Guo

E-Mail Website
Guest Editor
Key Laboratory of In-fiber Integrated Optics, Ministry of Education of China, Harbin Engineering University, Harbin 150001, China
Interests: ultrafast optics; two-dimensional material photonics; ocean optics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Linjun Li

E-Mail Website
Guest Editor
Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China
Interests: nonlinear optical crystal laser performance evaluation; mid-infrared solid laser technology; ultraviolet solid laser technology; optical detection technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Research on the linear and nonlinear optical properties of nanomaterials is of great significance due to their potential applications in various fields, such as photonics, optoelectronics, and information technology. Nanomaterials exhibit unique optical properties at the nanoscale that differ from those of bulk materials, making them promising candidates for advanced optical devices and technologies.

One of the key advantages of nanomaterials is their tunable optical properties, which can be controlled by manipulating their size, shape, and composition. This tunability allows for the design of materials with specific optical properties tailored for a particular application. For example, their ability to tune the absorption and emission wavelengths of nanomaterials makes them suitable for use in light-harvesting devices, sensors, and displays. Moreover, nanomaterials exhibit enhanced optical nonlinearities compared to bulk materials, due to their high surface-to-volume ratio and quantum confinement effects. This results in efficient nonlinear optical processes, such as multiphoton absorption, harmonic generation, and four-wave mixing, which are essential for applications in nonlinear optics, signal processing, and ultrafast photonics. The use of nanomaterials in nonlinear optical devices can lead to improved performance, reduced power consumption, and increased bandwidth. Additionally, the study of nanomaterials' linear and nonlinear optical properties can provide valuable insights into the fundamental physics of light–matter interactions at the nanoscale. By understanding the mechanisms that govern the optical response of nanomaterials, researchers can develop new theoretical models and experimental techniques to advance the field of nanophotonics. This knowledge can also aid in the development of novel materials with tailored optical properties for emerging technologies, such as quantum computing, plasmonics, and metamaterials.

We are pleased to invite authors to contribute to this Special Issue on "Linear and Nonlinear Optical Properties of Nanomaterials". We welcome submissions from scholars in related fields to share their research and insights on this important topic.

Dr. Bo Guo
Prof. Dr. Linjun Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nanomaterials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nanomaterials
  • 2D materials
  • nonlinear optics
  • saturable absorbers
  • fiber lasers
  • solid lasers

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Published Papers (2 papers)

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11 pages, 3198 KiB  
Article
Mo2TiAlC2 as a Saturable Absorber for a Passively Q-Switched Tm:YAlO3 Laser
by Chen Wang, Tianjie Chen, Zhe Meng, Sujian Niu, Zhaoxue Li and Xining Yang
Nanomaterials 2024, 14(22), 1823; https://doi.org/10.3390/nano14221823 - 14 Nov 2024
Cited by 1 | Viewed by 923
Abstract
Owing to their remarkable characteristics, two-dimensional (2D) layered, MAX phase materials have garnered significant attention in the field of optoelectronics in recent years. Herein, a novel MAX phase ceramic material (Mo2TiAlC2) was prepared into a saturable absorber (SA) by [...] Read more.
Owing to their remarkable characteristics, two-dimensional (2D) layered, MAX phase materials have garnered significant attention in the field of optoelectronics in recent years. Herein, a novel MAX phase ceramic material (Mo2TiAlC2) was prepared into a saturable absorber (SA) by the spin-coating method for passively Q-switching (PQS), and its nonlinear optical absorption properties were characterized with a Tm:YAlO3 (Tm:YAP) nanosecond laser. The structure characteristics and composition analysis revealed that the Mo2TiAlC2 material exhibits a well-defined and stable structure, with a uniform thin film successfully obtained through spin coating. In this study of a PQS laser by employing a Mo2TiAlC2-based SA, an average output power of 292 mW was achieved when the absorbed pump power was approximately 4.59 W, corresponding to a central output wavelength of 1931.2 nm. Meanwhile, a stable pulse with a duration down to 242.9 ns was observed at a repetition frequency of 47.07 kHz, which is the narrowest pulse width recorded among PQS solid-state lasers using MAX phase materials as SAs. Our findings indicate that the Mo2TiAlC2 MAX phase ceramic material is an excellent modulator and has promising potential for ultrafast nonlinear photonic applications. Full article
(This article belongs to the Special Issue Linear and Nonlinear Optical Properties of Nanomaterials)
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11 pages, 2245 KiB  
Article
Metasurface-Based Image Classification Using Diffractive Deep Neural Network
by Kaiyang Cheng, Cong Deng, Fengyu Ye, Hongqiang Li, Fei Shen, Yuancheng Fan and Yubin Gong
Nanomaterials 2024, 14(22), 1812; https://doi.org/10.3390/nano14221812 - 12 Nov 2024
Viewed by 1455
Abstract
The computer-assisted inverse design of photonic computing, especially by leveraging artificial intelligence algorithms, offers great convenience to accelerate the speed of development and improve calculation accuracy. However, traditional thickness-based modulation methods are hindered by large volume and difficult fabrication process, making it hard [...] Read more.
The computer-assisted inverse design of photonic computing, especially by leveraging artificial intelligence algorithms, offers great convenience to accelerate the speed of development and improve calculation accuracy. However, traditional thickness-based modulation methods are hindered by large volume and difficult fabrication process, making it hard to meet the data-driven requirements of flexible light modulation. Here, we propose a diffractive deep neural network (D2NN) framework based on a three-layer all-dielectric phased transmitarray as hidden layers, which can perform the classification of handwritten digits. By tailoring the radius of a silicon nanodisk of a meta-atom, the metasurface can realize the phase profile calculated by D2NN and maintain a relative high transmittance of 0.9 at a wavelength of 600 nm. The designed image classifier consists of three layers of phase-only metasurfaces, each of which contains 1024 units, mimicking a fully connected neural network through the diffraction of light fields. The classification task of handwriting digits from the ‘0’ to ‘5’ dataset is verified, with an accuracy of over 90% on the blind test dataset, as well as demonstrated by the full-wave simulation. Furthermore, the performance of the more complex animal image classification task is also validated by increasing the number of neurons to enhance the connectivity of the neural network. This study may provide a possible solution for practical applications such as biomedical detection, image processing, and machine vision based on all-optical computing. Full article
(This article belongs to the Special Issue Linear and Nonlinear Optical Properties of Nanomaterials)
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