Enhanced dielectric and ferroelectric properties in NaTNO/PVDF nanocomposites: a new flexible material for capacitor application

RSC Advances ◽  
2015 ◽  
Vol 5 (46) ◽  
pp. 36924-36932 ◽  
Author(s):  
D. Bhadra ◽  
S. C. Sarkar ◽  
B. K. Chaudhuri
Keyword(s):  
Physical Properties ◽  
Polymer Nanocomposites ◽  
Ferroelectric Properties ◽  
Functional Materials ◽  
Flexible Material

Polymer nanocomposites (PNC) showing improved physical properties are emerging as novel functional materials because of their adaptable physical properties for technological applications.

scholarly journals Polymer Nanocomposites: Synthesis and Physical Properties

10.5772/14881 ◽  
2011 ◽  
Author(s):  
Gleb Yu. ◽  
Alexandr S. ◽  
Oleg V. ◽  
Igor D. ◽  
Nikolay A. ◽  
...  
Keyword(s):  
Physical Properties ◽  
Polymer Nanocomposites

Prediction of physical properties of thermosetting resin by using machine learning and structural formulas of raw materials

MRS Advances ◽  
2020 ◽  
Vol 5 (29-30) ◽  
pp. 1567-1575
Author(s):  
Kokin Nakajin ◽  
Takuya Minami ◽  
Masaaki Kawata ◽  
Toshio Fujita ◽  
Katsumi Murofushi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Physical Properties ◽  
Functional Groups ◽  
Raw Materials ◽  
Functional Materials ◽  
Industrial Applications ◽  
Chemical Information ◽  
Thermosetting Resins ◽  
Mixing Ratios

AbstractThermosetting resins are one of the most widely used functional materials in industrial applications. Although some of the physical properties of thermosetting resins are controlled by changing the functional groups of the raw materials or adjusting their mixing ratios, it was conventionally challenging to construct machine learning (ML) models, which include both mixing ratio and chemical information such as functional groups. To overcome this problem, we propose a machine learning approach based on extended circular fingerprint (ECFP) in this study. First, we predicted the classification of raw materials by the random forest, where ECFP was used as the explanatory variable. Then, we aggregated ECFP for each classification predicted by the random forest. After that, we constructed the prediction model by using the aggregated ECFP, feature quantities of reaction intermediates, and curing conditions of resin as explanatory variables. As a result, the model was able to predict in high accuracy (R^2 = 0.8), for example, the elastic modulus of thermosetting resins. Furthermore, we also show the result of verification of prediction accuracy in first step, such as using the one-hot-encording. Therefore, we confirmed that the properties of thermosetting resins could be predicted using mixed raw materials by the proposed method.

Nanoscale Heterogeneity in Functional Materials

MRS Bulletin ◽  
2009 ◽  
Vol 34 (11) ◽  
pp. 822-831 ◽  
Author(s):  
Turab Lookman ◽  
Peter Littlewood
Keyword(s):  
Phase Transition ◽  
Shape Memory Alloys ◽  
Physical Properties ◽  
Shape Memory ◽  
Functional Materials ◽  
Single Domain ◽  
Elastic Interactions ◽  
Domain Structures ◽  
Parent State

AbstractThe physical properties that make “functional” materials worthy of their moniker frequently arise because of a phase transition that establishes a new kind of order as the material is cooled from a parent state. Such ordered states include ferroelectrics, ferromagnets, and structurally ordered martensites; because these states all break an orientational symmetry, and it is rare that one can produce the conditions for single domain crystallinity, the observed configuration is generally heterogeneous. However, the conditions under which domain structures form are highly constrained, especially by elastic interactions within a solid; consequently, the observed structures are far from fully random, even if disorder is present. Often the structure of the heterogeneity is important to the function, as in shape-memory alloys. Increasingly, we are surprised to discover new phases inside solids that are themselves a heterogeneous modulation of their parents.

scholarly journals Highly Conductive Ceramics with Multiple Types of Mobile Charge Carriers

Crystals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1148
Author(s):  
Sebastian Wachowski ◽  
Gilles Gauthier ◽  
Jong-Sook Lee ◽  
Sandrine Ricote
Keyword(s):  
Mechanical Properties ◽  
Electrical Conductivity ◽  
Physical Properties ◽  
Ferroelectric Properties ◽  
Ceramic Materials ◽  
Charge Carriers ◽  
Mobile Charge ◽  
Conductive Ceramics ◽  
Functional Ceramic

Functional ceramic materials are of interest in many applications due to their structural and chemical richness and the huge range of physical properties that can be generated and modified by the control of the former (electrical conductivity, thermo-mechanical properties, dielectric, piezoelectric, ferroelectric properties, etc [...]

scholarly journals Heterometal Grafted metalla-ynes and Poly(metalla-ynes): A Review on Structure–Property Relationships and Applications

Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3654
Author(s):  
Rayya A. Al-Balushi ◽  
Ashanul Haque ◽  
Idris J. Al-Busaidi ◽  
Houda Al-Sharji ◽  
Muhammad S. Khan
Keyword(s):  
Physical Properties ◽  
Main Chain ◽  
Functional Materials ◽  
Photo Luminescence ◽  
Structural Features ◽  
Side Chain ◽  
Structure Property ◽  
Molecular Scaffolds ◽  
Structure Property Relationships ◽  
Rigid Rod

Metalla-ynes and poly(metalla-ynes) have emerged as unique molecular scaffolds with fascinating structural features and intriguing photo-luminescence (PL) properties. Their rigid-rod conducting backbone with tunable photo-physical properties has generated immense research interests for the design and development of application-oriented functional materials. Introducing a second d- or f-block metal fragment in the main-chain or side-chain of a metalla-yne and poly(metalla-yne) was found to further modulate the underlying features/properties. This review focuses on the photo-physical properties and opto-electronic (O-E) applications of heterometal grafted metalla-ynes and poly(metalla-ynes).

Two In-Based Organic−Inorganic Hybrid Compounds with Reversible Phase Transition Derived from Order-Disorder Changes of Cations or Anions

2021 ◽  
Author(s):  
Yin-Qiang Zhang ◽  
Guan-Cheng Xu ◽  
Min Li
Keyword(s):  
Phase Transition ◽  
Solid State ◽  
Physical Properties ◽  
Ferroelectric Properties ◽  
Inorganic Hybrid ◽  
Hybrid Compounds ◽  
Reversible Phase Transition ◽  
Reversible Phase

Solid-state phase transition materials have been received extraordinary interest due to their rich physical properties, such as the thermal, dielectric, and ferroelectric properties. Here, two In-based organic-inorganic hybrid compounds, (C6H5CH2CH2NH3)3[InBr5(H2O)]...

Influence of Ta content on the physical properties of SrBi2Ta2O9 ferroelectric thin films

2006 ◽  
Vol 21 (12) ◽  
pp. 3124-3133 ◽  
Author(s):  
Fan-Yi Hsu ◽  
Ching-Chich Leu ◽  
Chao-Hsin Chien ◽  
Chen-Ti Hu
Keyword(s):  
Thin Films ◽  
Physical Properties ◽  
Spin Coating ◽  
Coercive Field ◽  
Remanent Polarization ◽  
Ferroelectric Properties ◽  
Ferroelectric Thin Films ◽  
Preferential Orientation ◽  
Strontium Bismuth Tantalate ◽  
Metalorganic Decomposition

We have investigated the effect that the Ta content has on the ferroelectric properties of strontium bismuth tantalate (SBT) thin films synthesized using metalorganic decomposition (MOD) and spin coating techniques. The physical properties of these SBT samples were strongly dependent upon the Ta ratio. Polarization measurements revealed that Ta-deficient SBT exhibited a relatively low coercive field (2Ec ∼ 87 kV/cm) and a high remanent polarization (2Pr ∼ 15 μC/cm2). The value of 2Pr decreased as the Ta ratio in SBT increased. The improved ferroelectric properties of the Ta-deficient SBT samples may have resulted from the uniformly well-grown bismuth-layered-structured (BLS) phases of the films and their highly preferential orientation along the a and b axes. We suggest that the incorporation of Ta vacancies plays an important role in enhancing the crystallinities and microstructures of Ta-deficient SBT films.

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