Superconductivity on Edge: Evidence of a One-Dimensional Superconducting Channel at the Edges of Single-Layer FeTeSe Antiferromagnetic Nanoribbons

ACS Nano ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 6539-6547
Author(s):  
Zhuozhi Ge ◽  
Qiang Zou ◽  
Huimin Zhang ◽  
Chenhui Yan ◽  
Daniel Agterberg ◽  
...  
Keyword(s):  
Single Layer ◽  
One Dimensional

scholarly journals Comparison of FASST and SNTHERM in Three Snow Accumulation Regimes

2008 ◽  
Vol 9 (6) ◽  
pp. 1443-1463 ◽  
Author(s):  
Susan Frankenstein ◽  
Anne Sawyer ◽  
Julie Koeberle
Keyword(s):  
Surface Energy ◽  
Single Layer ◽  
Soil Strength ◽  
Snow Accumulation ◽  
Dynamic State ◽  
Energy Fluxes ◽  
One Dimensional ◽  
Surface Energy Fluxes ◽  
Snow Model ◽  
Surface Ice

Abstract Numerical experiments of snow accumulation and depletion were carried out as well as surface energy fluxes over four Cold Land Processes Experiment (CLPX) sites in Colorado using the Snow Thermal model (SNTHERM) and the Fast All-Season Soil Strength model (FASST). SNTHERM is a multilayer snow model developed to describe changes in snow properties as a function of depth and time, using a one-dimensional mass and energy balance. The model is intended for seasonal snow covers and addresses conditions found throughout the winter, from initial ground freezing in the fall to snow ablation in the spring. It has been used by many researchers over a variety of terrains. FASST is a newly developed one-dimensional dynamic state-of-the-ground model. It calculates the ground’s moisture content, ice content, temperature, and freeze–thaw profiles as well as soil strength and surface ice and snow accumulation/depletion. Because FASST is newer and not as well known, the authors wanted to determine its use as a snow model by comparing it with SNTHERM, one of the most established snow models available. It is demonstrated that even though FASST is only a single-layer snow model, the RMSE snow depth compared very favorably against SNTHERM, often performing better during the accumulation phase. The surface energy fluxes calculated by the two models were also compared and were found to be similar.

Rheological Aspects of Multilayered Thick-Wall Polymeric Pipes under the Influence of Internal Pressure

2020 ◽  
Vol 869 ◽  
pp. 209-217
Author(s):  
Serdar B. Yazyev ◽  
Stepan Litvinov ◽  
Anastasia E. Dudnik ◽  
Irina Doronkina
Keyword(s):  
Internal Pressure ◽  
Single Layer ◽  
Thermal Conditions ◽  
Thick Wall ◽  
Rheological Parameters ◽  
The Finite Element Method ◽  
One Dimensional ◽  
Cyclic Temperature ◽  
Temperature Dependences ◽  
Pvc Pipe

Rheologic of a polymer pipe from cyclic temperature and internal pressure in one-dimensional and two-dimensional formulations is considered. The resulting equations of the finite element method allow one to calculate both single-layer and multilayer thick-walled pipes taking into account creep. In the calculation, the temperature dependences of the elastic and rheological parameters of polymer pipes were used. The effect of variable thermal conditions on the VAT of a PVC pipe is investigated. It has been established that under unsteady thermal conditions, stresses can occur significantly higher than in a stationary temperature field. This is explained by the fact that polymers have a component of deformation that is lagging in phase from stresses (highly elastic deformation).

Single layer atom chip for magnetically trapping one-dimensional array of ultracold atoms

2010 ◽  
Vol 19 (8) ◽  
pp. 083205
Author(s):  
Cheng Feng ◽  
Yan Bo ◽  
Ke Min ◽  
Wang Yu-Zhu
Keyword(s):  
Ultracold Atoms ◽  
Single Layer ◽  
Atom Chip ◽  
One Dimensional ◽  
Dimensional Array

One-dimensional electronic structure effects of single-layer cuprates Bi-2201 and Bi(Pb)-2201

2004 ◽  
Vol 408-410 ◽  
pp. 780-782 ◽  
Author(s):  
Recardo Manzke ◽  
Lenart Dudy ◽  
Alica Krapf ◽  
Christoph Janowitz ◽  
Hartmut Höchst
Keyword(s):  
Electronic Structure ◽  
Single Layer ◽  
One Dimensional

scholarly journals One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications

2020 ◽  
Vol 6 (28) ◽  
pp. eaba1178 ◽  
Author(s):  
Seonggil Ham ◽  
Minji Kang ◽  
Seonghoon Jang ◽  
Jingon Jang ◽  
Sanghyeon Choi ◽  
...  
Keyword(s):  
Neural Network ◽  
Recognition Accuracy ◽  
Single Layer ◽  
Organic Transistors ◽  
Bending Stress ◽  
One Dimensional ◽  
Synaptic Functions ◽  
Wearable Electronic ◽  
Mechanical Bending ◽  
Electronic Textile

One-dimensional (1D) devices are becoming the most desirable format for wearable electronic technology because they can be easily woven into electronic (e-) textile(s) with versatile functional units while maintaining their inherent features under mechanical stress. In this study, we designed 1D fiber-shaped multi-synapses comprising ferroelectric organic transistors fabricated on a 100-μm Ag wire and used them as multisynaptic channels in an e-textile neural network for wearable neuromorphic applications. The device mimics diverse synaptic functions with excellent reliability even under 6000 repeated input stimuli and mechanical bending stress. Various NOR-type textile arrays are formed simply by cross-pointing 1D synapses with Ag wires, where each output from individual synapse can be integrated and propagated without undesired leakage. Notably, the 1D multi-synapses achieved up to ~90 and ~70% recognition accuracy for MNIST and electrocardiogram patterns, respectively, even in a single-layer neural network, and almost maintained regardless of the bending conditions.

scholarly journals One-Dimensional Pnictogen Allotropes Inside Single-Wall Carbon Nanotubes

2019 ◽  
Author(s):  
Martin Hart ◽  
Ji Chen ◽  
Angelos Michaelides ◽  
Andrea Sella ◽  
Milo Shaffer ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Vapor Phase ◽  
Single Layer ◽  
High Resolution Electron Microscopy ◽  
Structural Motif ◽  
Single Wall Carbon Nanotubes ◽  
Single Wall Carbon ◽  
One Dimensional ◽  
Resolution Electron ◽  
Future Work

The discovery of phosphorene, a single layer of black phosphorus, has kick-started tremendous research efforts investigating the pnictogen nanomaterials. Arsenene and antimonene have now also been identified and these two-dimensional nanomaterials display physical properties superior to graphene for some applications. Recently, single-wall carbon nanotubes (SWCNTs) have been filled with P<sub>4</sub> molecules from the melt and As<sub>4</sub> molecules from the vapor phase. Inside the confinement of the SWCNTs, polymerization reactions were observed yielding new one-dimensional pnictogen allotropes. Here we show using high-resolution electron microscopy that such nanostructures can also be observed upon filling SWCNTs from the vapor phase using red phosphorus as the source material. Using larger diameter SWCNTs and filling from the vapor phase favors the formation of double-stranded phosphorus zig-zag ladders observed here for the first time. SWCNTs were generally found to fill well with liquid phosphorus. However, substantial decreases in the filling yields were observed for both phosphorus and arsenic filling of narrow SWCNTs using the vapor route. The filling experiments with molten antimony gave very low filling yields. However, the antimony zig-zag ladder could be observed on two occasions suggesting that this structural motif dominates across the pnictogens. Computational predictions of the encapsulation energies of the various pnictogen nanostructures are consistent with the observed experimental trends and band gap calculations predict that the single-stranded zig-zag chains of all investigated pnictogens are fully metallic. Using SWCNTs with diameters greater than 1.5 nm displayed a plethora of complex new phosphorus nanostructures which highlights an exciting new avenue for future work in this area.

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