Structure and Physical Properties of [μ-Tris(1,4-bis(tetrazol-1-yl)butane-N4,N4‘)iron(II)] Bis(hexafluorophosphate), a New Fe(II) Spin-Crossover Compound with a Three-Dimensional Threefold Interlocked Crystal Lattice

2004 ◽  
Vol 43 (1) ◽  
pp. 155-165 ◽  
Author(s):  
C. Matthias Grunert ◽  
Johannes Schweifer ◽  
Peter Weinberger ◽  
Wolfgang Linert ◽  
Kurt Mereiter ◽  
...  
Keyword(s):  
Physical Properties ◽  
Crystal Lattice ◽  
Spin Crossover ◽  
Three Dimensional

Modification of Spin Crossover Behavior through Solvent Assisted Formation and Solvent Inclusion in a Triply Interpenetrating Three-Dimensional Network

2007 ◽  
Vol 46 (10) ◽  
pp. 4220-4229 ◽  
Author(s):  
Matthias Bartel ◽  
Alina Absmeier ◽  
Guy N. L. Jameson ◽  
Franz Werner ◽  
Kenichi Kato ◽  
...  
Keyword(s):  
Spin Crossover ◽  
Three Dimensional ◽  
Dimensional Network ◽  
Crossover Behavior

Cluster evolution in molecular three-dimensional spin-crossover systems

2017 ◽  
Vol 96 (6) ◽  
Author(s):  
Laurentiu Stoleriu ◽  
Masamichi Nishino ◽  
Seiji Miyashita ◽  
Alexandru Stancu ◽  
Andreas Hauser ◽  
...  
Keyword(s):  
Spin Crossover ◽  
Three Dimensional ◽  
Cluster Evolution

scholarly journals Study of a temperature gradient metamorphism of snow from 3-D images: time evolution of microstructures, physical properties and their associated anisotropy

2014 ◽  
Vol 8 (6) ◽  
pp. 2255-2274 ◽  
Author(s):  
N. Calonne ◽  
F. Flin ◽  
C. Geindreau ◽  
B. Lesaffre ◽  
S. Rolland du Roscoat
Keyword(s):  
Temperature Gradient ◽  
Physical Properties ◽  
Time Evolution ◽  
Three Dimensional ◽  
Vertical Direction ◽  
Large Set ◽  
Correlation Lengths ◽  
Snow Properties ◽  
Cold Room ◽  
Anisotropy Coefficients

Abstract. We carried out a study to monitor the time evolution of microstructural and physical properties of snow during temperature gradient metamorphism: a snow slab was subjected to a constant temperature gradient in the vertical direction for 3 weeks in a cold room, and regularly sampled in order to obtain a series of three-dimensional (3-D) images using X-ray microtomography. A large set of properties was then computed from this series of 3-D images: density, specific surface area, correlation lengths, mean and Gaussian curvature distributions, air and ice tortuosities, effective thermal conductivity, and intrinsic permeability. Whenever possible, specific attention was paid to assess these properties along the vertical and horizontal directions, and an anisotropy coefficient defined as the ratio of the vertical over the horizontal values was deduced. The time evolution of these properties, as well as their anisotropy coefficients, was investigated, showing the development of a strong anisotropic behavior during the experiment. Most of the computed physical properties of snow were then compared with two analytical estimates (self-consistent estimates and dilute beds of spheroids) based on the snow density, and the size and anisotropy of the microstructure through the correlation lengths. These models, which require only basic microstructural information, offer rather good estimates of the properties and anisotropy coefficients for our experiment without any fitting parameters. Our results highlight the interplay between the microstructure and physical properties, showing that the physical properties of snow subjected to a temperature gradient cannot be described accurately using only isotropic parameters such as the density and require more refined information. Furthermore, this study constitutes a detailed database on the evolution of snow properties under a temperature gradient, which can be used as a guideline and a validation tool for snow metamorphism models at the micro- or macroscale.

scholarly journals A Novel (2, 3)-Threshold Reversible Secret Image Sharing Scheme Based on Optimized Crystal-Lattice Matrix

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2063
Author(s):  
Jiang-Yi Lin ◽  
Ji-Hwei Horng ◽  
Chin-Chen Chang
Keyword(s):  
Crystal Lattice ◽  
Three Dimensional ◽  
Lattice Models ◽  
Cover Image ◽  
Secret Image Sharing ◽  
Secret Data ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
Growth Phenomenon

The (k, n)-threshold reversible secret image sharing (RSIS) is technology that conceals the secret data in a cover image and produces n shadow versions. While k (kn) or more shadows are gathered, the embedded secret data and the cover image can be retrieved without any error. This article proposes an optimal (2, 3) RSIS algorithm based on a crystal-lattice matrix. Sized by the assigned embedding capacity, a crystal-lattice model is first generated by simulating the crystal growth phenomenon with a greedy algorithm. A three-dimensional (3D) reference matrix based on translationally symmetric alignment of crystal-lattice models is constructed to guide production of the three secret image shadows. Any two of the three different shares can cooperate to restore the secret data and the cover image. When all three image shares are available, the third share can be applied to authenticate the obtained image shares. Experimental results prove that the proposed scheme can produce secret image shares with a better visual quality than other related works.

Effect of titanium nitride coating on physical properties of three-dimensional graphene

2015 ◽  
Vol 356 ◽  
pp. 399-407 ◽  
Author(s):  
Fatemeh Dabir ◽  
Rasoul Sarraf-Mamoory ◽  
Manuela Loeblein ◽  
Siu Hon Tsang ◽  
Edwin Hang Tong Teo
Keyword(s):  
Titanium Nitride ◽  
Physical Properties ◽  
Three Dimensional ◽  
Nitride Coating ◽  
Titanium Nitride Coating

Physical Properties of 2D Spin-Crossover Solids from an Electro-Elastic Description: Effect of Shape, Size, and Spin-Distortion Interactions

2018 ◽  
pp. 333-434 ◽  
Author(s):  
Kamel Boukheddaden ◽  
Ahmed Slimani ◽  
Mouhamadou Sy ◽  
Franc¸ois Varret ◽  
Hassane Oubouchou ◽  
...  
Keyword(s):  
Physical Properties ◽  
Spin Crossover

A Comprehensive Understanding on Sewability of Natural Biomaterial: An Insight on Process Optimization during Leather Manufacture

2021 ◽  
Vol 116 (7) ◽  
Author(s):  
Gladstone Christopher Jayakumar ◽  
K Phebe Aaron ◽  
K Krishnaraj
Keyword(s):  
Physical Properties ◽  
Process Optimization ◽  
Three Dimensional ◽  
Experimental Results ◽  
Comprehensive Understanding ◽  
Microscopic Images ◽  
Dimensional Matrix ◽  
Natural Biomaterial ◽  
Leather Manufacture

Leather is three-dimensional matrix possessing unique properties which makes it more comfortable for daily use. Garments made from leathers are preferred choice owing to their multifaceted properties as compared to textiles in the colder regions. In the present study, an attempt has been made to evaluate the influence of phenolic syntan and synthetic fatliquor on the sewability and physical properties of post tanned leathers. From the experimental results, it is observed that the concentration of phenolic syntan and fatliquor influences leather sewability. Optical microscopic images of leathers also show that they are more compact and tighter with higher percentage of syntan. The study provides an insight in understanding the optimum usage of post tanning chemicals for better sewing properties without affecting the leather matrix adversely.

A Novel Packing Hollow Dodecahedron Model to Study the Mechanical and Thermal Properties of Stocastic Metallic Foams

2021 ◽  
Author(s):  
Rui Dai ◽  
Beomjin Kwon ◽  
Qiong Nian
Keyword(s):  
Thermal Properties ◽  
Physical Properties ◽  
Three Dimensional ◽  
Weight Ratio ◽  
High Strength ◽  
Specific Area ◽  
Deposition Process ◽  
Metallic Foam ◽  
Thermal Testing ◽  
Mechanical And Thermal Properties

Abstract Stochastic foam with hierarchy order pore structure possesses distinguished physical properties such as high strength to weight ratio, super lightweight, and extremely large specific area. These exceptional properties make stochastic foam as a competitive material for versatile applications e.g., heat exchangers, battery electrodes, automotive components, magnetic shielding, catalyst devices and etc. Recently, the more advanced hollow cellular (shellular) architectures with well-developed structure connections are studied and expected to surpass the solid micro/nanolattices. However, in terms of theoretical predicting and studying of the cellular foam architecture, currently no systematic model can be utilized to accurately capture both of its mechanical and thermal properties especially with hollow struts due to complexity induced by its stochastic and highly reticulate nature. Herein, for the first time, a novel packing three-dimensional (3D) hollow dodecahedron (HPD) model is proposed to simulate the cellular architecture. An electrochemical deposition process is utilized to manufacture the metallic foam with hollow struts. Mechanical and thermal testing of the as-manufactured foams are carried out to compare with the HPD model. HPD model is proved to accurately capture both the topology and the physical properties of stochastic foam at the similar relative density. Particularly, the proposed model makes it possible to readily access and track the physical behavior of stochastic foam architecture. Accordingly, this work will also offer inspiration for designing an efficient foam for specific applications.

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