scholarly journals Stable planar single-layer hexagonal silicene under tensile strain and its anomalous Poisson's ratio

2014 ◽  
Vol 104 (8) ◽  
pp. 081902 ◽  
Author(s):  
Baolin Wang ◽  
Jiangtao Wu ◽  
Xiaokun Gu ◽  
Hanqing Yin ◽  
Yujie Wei ◽  
...  
Keyword(s):  
Poisson’S Ratio ◽  
Tensile Strain ◽  
Single Layer ◽  
Poisson's Ratio

Zero Poisson's ratio in single-layer arsenic

Nanoscale ◽  
2021 ◽  
Author(s):  
Lingling Bai ◽  
Yifan Gao ◽  
Junhao Peng ◽  
Xing Xie ◽  
Minru Wen ◽  
...  
Keyword(s):  
Poisson’S Ratio ◽  
Single Layer ◽  
Poisson's Ratio ◽  
Precision Instrument

Zero (or near-zero) Poisson's ratio (ZPR) materials have important applications in the field of precision instrument because one of its faces is stable and will not be affected by strain....

Model‐based inversion of amplitude‐variations‐with‐offset data using a genetic algorithm

Geophysics ◽  
1995 ◽  
Vol 60 (4) ◽  
pp. 939-954 ◽  
Author(s):  
Subhashis Mallick
Keyword(s):  
Reflection Coefficient ◽  
Acoustic Impedance ◽  
Poisson’S Ratio ◽  
Input Data ◽  
Synthetic Data ◽  
Single Layer ◽  
P Wave ◽  
Poisson's Ratio ◽  
Reasonable Accuracy ◽  
Avo Inversion

I cast the inversion of amplitude‐variation‐with‐offset (AVO) data into the framework of Bayesian statistics. Under such a framework, the model parameters and the physics of the forward problem are used to generate synthetic data. These synthetic data are then matched with the observed data to obtain an a‐posteriori probability density (PPD) function in the model space. The genetic algorithm (GA) uses a directed random search technique to estimate the shape of the PPD. Unlike the classical inversion methods, GA does not depend upon the choice of an initial model and is well suited for the AVO inversion. For the single‐layer AVO inversion where the amplitudes from a single reflection event are inverted, GA estimates the normal incidence reflection coefficient [Formula: see text] and the contrast of the Poisson’s ratio (Δσ) to reasonable accuracy, even when the signal‐to‐noise ratio is poor. Comparisons of single‐layer amplitude inversion using synthetic data demonstrate that GA inversion obtains more accurate results than does the least‐squares fit to the approximate reflection coefficients as is usually practiced in the industry. In the multilayer AVO waveform inversion, all or a part of the prestack data are inverted. Inversion of this type is nonunique for the estimation of the absolute values of velocities, Poisson’s ratios, and densities. However, by applying simplified approximations to the P‐wave reflection coefficient, I verify that [Formula: see text], the contrast in the acoustic impedance (ΔA), and the gradient in the reflection coefficient (G), can be estimated from such an inversion. From the GA estimated values of [Formula: see text], ΔA, and G, and from reliable estimates of velocity and Poisson’s ratio at the start time of the input data, an inverted model can be generated. I apply this procedure to marine data and demonstrate that the the synthetics computed from such an inverted model match the input data to reasonable accuracy. Comparison of the log data from a nearby well shows that the GA inversion obtains both the low‐ and the high‐frequency trends (within the bandwidth of seismic resolution) of the P‐wave acoustic impedance. In addition to P‐wave acoustic impedance, GA also obtains an estimate of the Poisson’s ratio, an extremely important parameter for the direct detection of hydrocarbons from seismic data.

scholarly journals Structural deformation and mechanical response of CrS2, CrSe2 and Janus CrSSe

2021 ◽  
Author(s):  
Shambhu Bhandari Sharma ◽  
Ramesh Paudel ◽  
Rajendra Adhikari ◽  
Gopi Chandra Kaphle ◽  
Durga Paudyal
Keyword(s):  
Poisson’S Ratio ◽  
Density Functional ◽  
Tensile Strain ◽  
Mechanical Response ◽  
Axial Stress ◽  
Covalent Bond ◽  
Poisson's Ratio ◽  
Structural Deformation ◽  
Plastic Behavior ◽  
Potential Candidate

In the framework of density functional theory (DFT), we investigate the structural deformation, and mechanical behavior of the Janus CrSSe, which has out-of-plane structural asymmetry, with conventional transition metal dichalcogenides (TMDs) CrS2 and CrSe2 . The Janus CrSSe could be a potential candidate for machinable optoelectronic and piezoelectric applications. We predict that these compounds are chemically, mechanically, and dynamically stable with the covalent bond between the TM(Cr) and chalcogen(X=S, Se) atoms. Due to the influence of tensile strain, the Cr-X bond length of each monolayers increases, and the thickness decreases. Interestingly, the in-plane stiffness, shear and layer moduli, Poisson’s ratio, ultimate bi/uni-axial stress of Janus CrSSe are in between the values of CrS2 and CrSe2 monolayers. Similar to TMDs, the orientation-dependent in-plane stiffness and Poisson’s ratio demonstrate the isotropic behavior in Janus CrSSe. Furthermore, it can sustain a larger value of uni/bi-axial tensile strain with the critical strain equivalent to CrX2 monolayers. By applying higher-order strain, we have also found average elastic-plastic behavior as expected. These findings demonstrate that the Janus CrSSe monolayer is a mechanically stable and ductile compound that maintains the hybrid behavior.

Tensile strain effects on C4N3H monolayer: Large Poisson's ratio and robust Dirac cone

2019 ◽  
Vol 114 (7) ◽  
pp. 073106 ◽  
Author(s):  
Hongzhe Pan ◽  
Hongyu Zhang ◽  
Jianfu Li ◽  
Qingfang Li ◽  
Yuanyuan Sun ◽  
...  
Keyword(s):  
Poisson’S Ratio ◽  
Tensile Strain ◽  
Poisson's Ratio ◽  
Dirac Cone ◽  
Strain Effects

Negative In-Plane Poisson's Ratio for Single Layer Black Phosphorus: An Atomistic Simulation Study

2017 ◽  
Vol 254 (12) ◽  
pp. 1700285 ◽  
Author(s):  
Duc Tam Ho ◽  
Viet Hung Ho ◽  
Harold S. Park ◽  
Sung Youb Kim
Keyword(s):  
Simulation Study ◽  
Poisson’S Ratio ◽  
Atomistic Simulation ◽  
Single Layer ◽  
Black Phosphorus ◽  
Poisson's Ratio

scholarly journals Intrinsic Negative Poisson’s Ratio for Single-Layer Graphene

Nano Letters ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 5286-5290 ◽  
Author(s):  
Jin-Wu Jiang ◽  
Tienchong Chang ◽  
Xingming Guo ◽  
Harold S. Park
Keyword(s):  
Poisson’S Ratio ◽  
Single Layer ◽  
Poisson's Ratio ◽  
Single Layer Graphene ◽  
Negative Poisson’S Ratio ◽  
Layer Graphene ◽  
Negative Poisson's Ratio
Sign in / Sign up

Export Citation Format

Share Document