4.8 Article

Room Temperature in Situ Growth of B/BOx Nanowires and BOx Nanotubes

Journal

NANO LETTERS
Volume 14, Issue 2, Pages 799-805

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/nl404147r

Keywords

Nanowires; nanotechnology; room temperature; transmission electron microscope; electron beam damage; radiolysis; gold catalysis

Funding

  1. DFC [KU 2347/2-2]
  2. Institute of Basic Science (IBS) Korea [EM: 1304]

Ask authors/readers for more resources

Despite significant advances in the synthesis of nanostructures, our understanding of the growth mechanisms of nanowires and nanotubes grown from catalyst particles remains limited. In this study we demonstrate a straightforward route to grow coaxial amorphous B/BOx nanowires and BOx nanotubes using gold catalyst particles inside a transmission electron microscope at room temperature without the need of any specialized or expensive accessories. Exceedingly high growth rates (over 7 mu m/mm) are found for the coaxial nanowires, and this is attributed to the highly efficient diffusion of B species along the surface of a nanowire by electrostatic repulsion. On the other hand the O species are shown to be relevant to activate the gold catalysts, and this can occur through volatile O species. The technique could be further developed to study the growth of other nanostructures and holds promise for the room temperature growth of nanostructures as a whole.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Materials Science, Multidisciplinary

Novel nanostructures suspended in graphene vacancies, edges and holes

Yu Liu, Huy Q. Ta, Xiaoqin Yang, Yue Zhang, Junhua Zhou, Qitao Shi, Mengqi Zeng, Thomas Gemming, Barbara Trzebicka, Lei Fu, Mark H. Ruemmeli

Summary: This review focuses on the fabrication and characterization of free-standing nanostructures suspended in graphene using transmission electron microscopy, which enables the observations with atomic resolution and investigations of the dynamic behavior of atoms/structures in such materials. Additionally, the review discusses the influence of novel metal/nonmetal dopants in graphene vacancies with varying bond configurations and the catalytic activities of single atoms/clusters located at the graphene edges. Moreover, the dynamic forming process of freestanding single-atom-thick two-dimensional (2D) clusters/metal/metallenes and 2D clusters/metal/metallenes oxides is discussed.

SCIENCE CHINA-MATERIALS (2023)

Article Chemistry, Physical

Reactive interdiffusion of an Al film and a CoCrFeNi high-entropy alloy at elevated temperatures

Zequn Zhang, Simon Fellner, Sergey Ketov, Megan J. Cordill, Huaping Sheng, Christian Mitterer, Kaikai Song, Christoph Gammer, Juergen Eckert

Summary: The phase evolution of alloys and atomic diffusion are closely related. However, the influence of reactive diffusion on phase formation in high-entropy alloys (HEAs) is still not clear. This study investigates the phase evolution of a multicomponent CoCrFeNi/Al diffusion couple and reveals the combined effects of enthalpy and entropy on phase formation in HEAs at elevated temperatures. Surface modification of HEAs can be achieved through film deposition and annealing processes.

INTERMETALLICS (2023)

Article Materials Science, Multidisciplinary

Nanoscale chemical segregation to twin interfaces in ?-MnAl-C and resulting effects on the magnetic properties

Panpan Zhao, Markus Gusenbauer, Harald Oezelt, Daniel Wolf, Thomas Gemming, Thomas Schrefl, Kornelius Nielsch, Thomas George Woodcock

Summary: In this study, aberration-corrected scanning transmission electron microscopy coupled with electron energy-loss spectroscopy was used to investigate the atomistic structure and chemical composition of twin boundaries in ferromagnetic r-MnAl-C. The results showed that there was Mn enrichment at both coherent and incoherent twin boundaries, and a transition region with Mn enrichment was found at order twin boundaries. Micromagnetic simulations revealed that increasing structural and chemical disorder at the interface led to an increase in coercivity.

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2023)

Review Electrochemistry

Pd-based Metallic Glasses as Promising Materials for Hydrogen Energy Applications

Baran Sarac, A. Sezai Sarac, Juergen Eckert

Summary: This review provides an introduction to the use of advanced amorphous metal catalysts for hydrogen storage and production via electrochemistry. Pd-based metallic glasses have gained significant attention due to their unique atomic structure and properties for energy applications. The review covers the fabrication techniques, hydrogen sorption, hydrogen evolution, kinetics, and future prospects of Pd-based metallic glasses. Overall, it offers a comprehensive overview for large-scale hydrogen energy storage and production systems.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2023)

Article Materials Science, Multidisciplinary

Enhanced mechanical performance of gradient-structured CoCrFeMnNi high-entropy alloys induced by industrial shot-blasting

Ming-Zhi Zhang, Kun Zhang, Kai-Kai Song, Xiao-Yu Zou, Wei-Dong Song, Ke-Feng Li, Li-Na Hu, Ze-Qun Zhang, Juergen Eckert

Summary: In this study, CoCrFeMnNi high-entropy alloys with a surface gradient nanostructure were produced using industrial shot blasting, which significantly improved their mechanical properties. The severely plastically deformed surface layer had a multi-scale hierarchical structure and increased in depth with shot-blasting time. The microhardness and tensile strength of the alloy were significantly higher after shot-blasting. The improved strain hardening and prevention of early necking in the gradient-nanostructured surface layer contributed to its high toughness.

RARE METALS (2023)

Article Chemistry, Physical

Can Severe Plastic Deformation Tune Nanocrystallization in Fe-Based Metallic Glasses?

Monika Antoni, Florian Spieckermann, Niklas Plutta, Christoph Gammer, Marlene Kapp, Parthiban Ramasamy, Christian Polak, Reinhard Pippan, Michael J. J. Zehetbauer, Juergen Eckert

Summary: The effects of severe plastic deformation (SPD) by means of high-pressure torsion (HPT) on Fe73.9Cu1Nb3Si15.5B6.6 and Fe81.2Co4Si0.5B9.5P4Cu0.8 iron-based metallic glasses were compared. HPT processing extended the consolidation and deformation ranges for Fe73.9Cu1Nb3Si15.5B6.6, and achieved consolidation and deformation with minimum cracks for Fe81.2Co4Si0.5B9.5P4Cu0.8 for the first time. Various analyses revealed that Fe81.2Co4Si0.5B9.5P4Cu0.8 exhibited HPT-induced crystallization phenomena, while Fe73.9Cu1Nb3Si15.5B6.6 did not crystallize even at high HPT-deformation degrees.

MATERIALS (2023)

Review Chemistry, Multidisciplinary

Applications of Graphene in Five Senses, Nervous System, and Artificial Muscles

Jinbo Pang, Songang Peng, Chongyang Hou, Hongbin Zhao, Yingju Fan, Chen Ye, Nuo Zhang, Ting Wang, Yu Cao, Weijia Zhou, Ding Sun, Kai Wang, Mark H. Rummeli, Hong Liu, Gianaurelio Cuniberti

Summary: Graphene remains of great interest in biomedical applications due to its biocompatibility. This review provides an update on the recent progress in graphene-based sensors for mimicking human senses, including artificial retina for image sensors, artificial eardrums, gas sensors, chemical sensors, and tactile sensors. It also discusses brain-like processors based on conventional transistors and memristor-related neuro-morphic computing, as well as the introduction of brain-machine interface. Additionally, the article summarizes the use of graphene-based artificial muscles as actuators to interact with the physical world. Future opportunities for improving human-like sensors and their clinical applications are highlighted.

ACS SENSORS (2023)

Article Chemistry, Multidisciplinary

Dithienylethene-Based Single Molecular Photothermal Linear Actuator

Umar Rashid, Elarbi Chatir, Leonardo Medrano Sandonas, P. A. Sreelakshmi, Arezoo Dianat, Rafael Gutierrez, Gianaurelio Cuniberti, Saioa Cobo, Veerabhadrarao Kaliginedi

Summary: By using a mechanically controllable break junction technique, we created an ideal single molecular linear actuator based on dithienylethene (DTE) molecular architecture. This actuator undergoes reversible photothermal isomerization when exposed to UV irradiation under normal conditions, achieving both open and closed forms. Interestingly, the actuation occurs without altering the molecular junction's conductivity around the Fermi level, making it an essential property for an ideal single molecular actuator. Our study demonstrates a unique example of achieving a perfect balance between tunneling width and barrier height change during photothermal isomerization, resulting in no conductivity change but a change in molecular length for mechanical actuation at the single molecular level.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2023)

Article Engineering, Electrical & Electronic

Monitoring Toxic Gases Using Nanotechnology and Wireless Sensor Networks

Waltenegus Dargie, Jianjun Wen, Luis Antonio Panes-Ruiz, Leif Riemenschneider, Bergoi Ibarlucea, Gianaurelio Cuniberti

Summary: Human beings live and work in close proximity to dangerous gases, which can cause considerable damages to human lives and properties, as well as have high impact on the environment. Hence, diligent monitoring and management of these gases are of profound importance.

IEEE SENSORS JOURNAL (2023)

Article Computer Science, Artificial Intelligence

A Survey on Deep Learning Technique for Video Segmentation

Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang

Summary: Video segmentation is crucial in various practical applications such as enhancing visual effects in movies, understanding scenes in autonomous driving, and creating virtual background in video conferencing. Deep learning-based approaches have shown promising performance in video segmentation. This survey comprehensively reviews two main research lines - generic object segmentation and video semantic segmentation - by introducing their task settings, background concepts, need, development history, and challenges. Representative literature and datasets are also discussed, and the reviewed methods are benchmarked on well-known datasets. Open issues and opportunities for further research are identified, and a public website is provided to track developments in this field: https://github.com/tfzhou/VS-Survey.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2023)

Article Engineering, Manufacturing

Synergistic Strengthening Mechanisms of Dual-Phase (TiN plus AlN) Reinforced Aluminum Matrix Composites Prepared by Laser Powder Bed Fusion

Ruiqi Wang, Lixia Xi, Lili Feng, Baran Sarac, Konda Gokuldoss Prashanth, Juergen Eckert, Dongdong Gu

Summary: Dual-phase reinforcing approach is an efficient strategy for fabricating advanced aluminum matrix composites. However, designing a dual-phase reinforcing system with synergistic strengthening effect for LPBF process is challenging.

3D PRINTING AND ADDITIVE MANUFACTURING (2023)

Article Materials Science, Multidisciplinary

Durability of TiAl based surface acoustic wave devices for sensing at intermediate high temperatures

Marietta Seifert, Barbara Leszczynska, Robert Weser, Siegfried Menzel, Thomas Gemming, Hagen Schmidt

Summary: TiAl-based SAW devices were prepared by depositing Ti/Al multilayers on high-temperature stable CTGS substrates, and characterized for their durability and electrical behavior at intermediate high temperatures. The devices exhibited sufficient stability and a linear dependence of the resonant frequency on temperature, making them suitable for long-term applications.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2023)

Article Materials Science, Multidisciplinary

Electronic and optical properties of C60/Ti2CT2 and C60/Ti3C2T2 (T = F, OH, or O) Heterostructures

Zahra Hajiahmadi, Mohammad Khazaei, Ahmad Ranjbar, Alireza Mostafaei, Sergii Chertopalov, Thomas D. Kuehne, Gianaurelio Cuniberti, Hamid Hosano, Hannes Raebiger, Kaoru Ohno

Summary: Using first-principles calculations, we investigated the electronic and optical properties of C60 adsorbed on monolayers of Ti2C and Ti3C2, as well as functionalized Ti2CT2 and Ti3C2T2 with T = F, OH, or O. The nature of the contact between C60 and Ti2CT2/Ti3C2T2 depends on the work function of the monolayer. The heterostructures of C60 on Ti2CT2 and Ti3C2T2 with ultrahigh or ultralow work functions exhibit Ohmic contacts. All constructed heterostructures, regardless of being metallic or semiconducting, show good light absorption in the visible region.

COMPUTATIONAL MATERIALS SCIENCE (2023)

Article Construction & Building Technology

Mineral-impregnated carbon-fiber based reinforcing grids as thermal energy harvesters: A proof-of-concept study towards multifunctional building materials

Jitong Zhao, George Karalis, Marco Liebscher, Lazaros Tzounis, Thomas Koeberle, Dieter Fischer, Frank Simon, Muhannad Al Aiti, Gianaurelio Cuniberti, Viktor Mechtcherine

Summary: This proof-of-concept study demonstrates the fabrication of a multifunctional reinforcing grid-building material within a thermoelectric element generator configuration. Carbon fiber yarns were impregnated with a geopolymer-based suspension and tested for their properties. The resulting hardened mineral-impregnated carbon-fiber reinforcements were used as thermoelements to assemble a grid-like TEG, which generated power upon exposure to a temperature difference.

ENERGY AND BUILDINGS (2023)

Article Nanoscience & Nanotechnology

A Multiscale Deep-Learning Model for Atom Identification from Low-Signal-to-Noise-Ratio Transmission Electron Microscopy Images

Yanyu Lin, Zhangyuan Yan, Chi Shing Tsang, Lok Wing Wong, Xiaodong Zheng, Fangyuan Zheng, Jiong Zhao, Ke Chen

Summary: Recent advancements in TEM have enabled the study of atomic structures at unprecedented small scales. However, accurately detecting atomic positions from TEM images remains challenging, especially in the presence of background noise or contamination. To overcome this, AtomID-Net, a deep neural network model, is introduced for atomic detection from low-SNR experimental images in STEM. The model, trained on real images, achieves robust and efficient detection even in the presence of noise and contamination, outperforming existing peak-finding algorithms.

SMALL SCIENCE (2023)

No Data Available