Skip to main content

Electromagnetic Microwave

One-dimensional C/Co composite nanofibers derived from ZIF-67 with excellent wideband electromagnetic microwave absorption performance

The rapid advancement of wireless communications, radar systems, and electronic devices has resulted in a substantial increase in electromagnetic interference (EMI), which poses a threat to electronic device performance and human health. This study addresses the urgent need for lightweight materials with strong absorption capacities, wide absorption bandwidths, and low thickness values. For this purpose, ZIF-67-derived C/Co nanofibers were synthesized via electrospinning, dipping, and high-temperature carbonization. Co2+ ions were pre-anchored and encapsulated in polyacrylonitrile (PAN) fibers and are grown by immersion in an organic ligand. Utilizing 0.4 g of cobalt nitrate hexahydrate, the amount of encapsulated Co2+ was optimized to provide the greatest electromagnetic wave absorption performance.

Under these conditions, the reflection loss was −49.45 dB, and the maximum effective absorption bandwidth was 6.48 GHz, thereby covering the entire Ku band. The composite material demonstrated a significant improvement in impedance matching and electromagnetic wave dissipation, which was attributed to the uniform dispersion of Co particles and the formation of multi-component heterogeneous interfaces. This study presents a pragmatic method for creating high-performance materials that could potentially reduce electromagnetic interference (EMI) in the aerospace, telecommunications, and defense sectors.

Materials


PAN (Mw = 150,000 g/mol), Cobalt nitrate hexahydrate (Co(NO3)2·6H2O), and N,N-dimethylformamide (DMF), and 2-methylimidazole (C4H6N2, 2-M) were purchased from the Aladdin Reagent Co., Ltd. The methanol was acquired from Heng Xing Chemical Reagents. All chemicals and reagents used in the experiment were of high purity and were utilized without any additional treatment.
Preparation of the ZIF-67-derived C/Co nanofibers. The ZIF-67-derived C/Co nanofibers were acquired using the processes of electrospinning, dipping, and calcination.

The XRD patterns of the CNF-Co-2, CNF-Co-4, and CNF-Co-6 samples, as well as the unadulterated pure carbon nanofibers, are exhibited in Fig. 1(b). The prominent peak seen between 20°and 30°in all samples corresponds to the (002) crystallographic plane of the graphite microcrystals within the amorphous carbon of the carbonized PAN. In addition, the diffraction peaks observed at 44.2°, 51.5°, and 75.8° for the three composite samples correspond to the (111), (200), and (220) planes, respectively.

In this study, high-performance C/Co nanofibers were prepared via electrospinning, dipping, and high-temperature carbonization. By adjusting the content of cobalt nitrate hexahydrate, these nanofibers achieved an optimal electromagnetic wave reflection loss of −49.45 dB (4.96 mm), a Co loading of 0.4 g, and a maximum absorption bandwidth of 6.48 GHz (2.65 mm), which covers the entire K band. Various methods were used to analyze and explain the absorption mechanisms of composite nanofibers.


Comments

Popular posts from this blog

Global Lighthouse Network

Smart, sustainable manufacturing: 3 lessons from the Global Lighthouse Network Launched in 2018, when more than 70% of factories struggled to scale digital transformation beyond isolated pilots, the Global Lighthouse Network set out to identify the world’s most advanced production sites and create a shared learning journey to up-level the global manufacturing community. In the past seven years, the network has grown from 16 to 201 industrial sites in more than 30 countries and 35 sectors, including the latest cohort of 13 new sites. This growing community of organizations is setting new standards for operational excellence, leveraging advanced technologies to drive growth, productivity, resilience and environmental sustainability. But what exactly is a Global Lighthouse and what has the network achieved? What is the Global Lighthouse Network? The Global Lighthouse Network is a community of operational facilities and value chains that harness digital technologies at scale to ac...

Multi-Modal Data

Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles. Traditional FL schemes often struggle with the complexities introduced by multi-modal data and diverse task requirements, such as increased communication overhead and computational burdens. In this paper, we propose a novel privacy-preserving scheme for multi-task federated split learning across multi-modal data (MTFSLaMM). Our approach leverages the principles of split learning to partition models between clients and servers, employing a modular design that reduces computational demands on resource-constrained clients. To ensure data privacy, we integrate differential privacy to protect intermediate data and employ homomorphic encryption to safeguard client m...

Quantum Network Nodes

An operating system for executing applications on quantum network nodes The goal of future quantum networks is to enable new internet applications that are impossible to achieve using only classical communication . Up to now, demonstrations of quantum network applications  and functionalities   on quantum processors have been performed in ad hoc software that was specific to the experimental setup, programmed to perform one single task (the application experiment) directly into low-level control devices using expertise in experimental physics.  Here we report on the design and implementation of an architecture capable of executing quantum network applications on quantum processors in platform-independent high-level software. We demonstrate the capability of the architecture to execute applications in high-level software by implementing it as a quantum network operating system-QNodeOS-and executing test programs, including a delegated computation from a client to a server ...