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We experimentally demonstrate laser-driven deposition of single-walled carbon nanotubes (CNTs) in suspended core fibers (SCFs) for the first time. Two samples for each SCF type with three (SCF1) and four (SCF2) air holes are individually…

Despite all the progress of semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex makes the hardware implementation of neuromorphic networks with a comparable number of devices exceptionally…

Emerging Technologies · Computer Science 2015-05-20 Mirko Prezioso , Farnood Merrikh-Bayat , Brian Hoskins , Gina Adam , Konstantin K. Likharev , Dmitri B. Strukov

Heavy metal pollution is a severe environmental problem affecting many water resources. The non-biodegradable nature of the heavy metals such as lead (Pb) causes severe human health issues, so their cost-effective, sensitive and rapid…

Applied Physics · Physics 2019-06-03 Arif Ul Alam , Matiar M. R. Howlader , Nan-Xing Hu , M. Jamal Deen

Although existing deep learning compressed-sensing-based Magnetic Resonance Imaging (CS-MRI) methods have achieved considerably impressive performance, explainability and generalizability continue to be challenging for such methods since…

Image and Video Processing · Electrical Eng. & Systems 2023-03-14 Xiaohong Fan , Yin Yang , Ke Chen , Jianping Zhang , Ke Dong

Semiconductor research has shifted towards exploring two-dimensional (2D) materials as candidates for next-generation electronic devices due to the limitations of existing silicon technology. Transition Metal Dichalcogenides (TMDCs) stand…

Mesoscale and Nanoscale Physics · Physics 2024-09-12 Sameer Kumar Mallik

Partitioning and transport of water and small solutes into and through nanopores is important to a variety of chemical and biological processes and applications. Here we study the partitioning of positive ions of increasing size into the…

Chemical Physics · Physics 2007-05-23 Lu Yang , Shekhar Garde

In this paper, a carbon nanotube (CNT) based single-ion detector is proposed and its performance is evaluated with atomistic quantum transport models. The sensor can detect any ion type without molecule-specific functionalization and allows…

Applied Physics · Physics 2026-02-03 Namita Narendra , Tillmann Kubis

While we enjoy the richness and informativeness of multimodal data, it also introduces interference and redundancy of information. To achieve optimal domain interpretation with limited resources, we propose CSDNet, a lightweight…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Xiaotong Yu , Ruihan Xie , Zhihe Zhao , Chang-Wen Chen

Kite growth is a process that utilizes laminar gas flow in chemical vapor deposition to grow long, well-aligned carbon nanotubes (CNTs) for electronic application. This process uses metal nanoparticles (NPs) as catalytic seeds for CNT…

In this paper, we propose the Coupled Axial and Transverse currents (I) (CATI) method, as an efficient and accurate finite element approach for modelling the electric and magnetic behavior of periodic composite superconducting conductors.…

Accelerator Physics · Physics 2024-06-25 Julien Dular , Fredrik Magnus , Erik Schnaubelt , Arjan Verweij , Mariusz Wozniak

We describe the concept of a dry electrode sensor for biopotential measurement applications (ENOBIO) designed to eliminate the noise and inconvenience associated to the use of electrolytic gel. ENOBIO uses nanotechnology to remove…

Advanced material composite of nanocarbons and metal-based materials provides a synergistic effect to obtain excellent electrochemical charge-storage performance and other properties. Herein, 3D porous carbon-metal oxynitride nanocomposites…

Highly active, durable and cost-effective electrocatalysts for water oxidation to evolve oxygen gas hold a key to a range of renewable energy solutions including water splitting and rechargeable metal-air batteries. Here, we report the…

The concept of compressing deep Convolutional Neural Networks (CNNs) is essential to use limited computation, power, and memory resources on embedded devices. However, existing methods achieve this objective at the cost of a drop in…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Waqar Ahmed , Andrea Zunino , Pietro Morerio , Vittorio Murino

The nitrogen-vacancy (NV) center in diamond is the prototype quantum defect that enables a variety of diamond-based quantum technologies. However, charge-state instability and spectral diffusion, often induced by substitutional nitrogen…

Materials Science · Physics 2026-05-26 Chandan Kumar Vishwakarma , J. K. Nangoi , Mark E. Turiansky , Chris G. Van de Walle

CDI is a lensless imaging technique that enables atomic-resolution imaging of non-crystalline specimens and their dynamics. However, its broader implementation has been hindered by the instability and ill-posedness of its reconstruction…

Optics · Physics 2025-12-11 Zhe Hu , Zisheng Yao , Yuhe Zhang , Pablo Villanueva-Perez

The development of reversible hydrogen storage materials has become crucial for enabling carbon-neutral energy systems. Based on this, the present work investigates the hydrogen storage on the sodium-decorated P-C$_3$N (Na@P-C$_3$N), a…

In this work, we demonstrate that an impugn of energy density for sodium chemistries can be prevail through an anode-free architecture enabled by the use of a (nanocarbon/Cobaltoxide) nucleation layer formed on Aluminium current collectors.…

Chemical Physics · Physics 2018-11-21 Saurav L Chaudhari , Ketan P Pise

The critical properties of functional materials and nanoscale devices often originate from the coexistence of different thermodynamic phases and / or oxidization states, but sample makeup is seldom completely known a priori. Coherent…

Graphene nanoislands (GNIs) are one of the promising building blocks for quantum devices owing to their unique potential. However, direct electrical measurements of GNIs have been challenging due to the requirement of metal catalysts in…