Large piezoelectric effect in Pb-free Ba(Ti,Sn)O3-x(Ba,Ca)TiO3 ceramics

Xue, Dezhen; Zhou, Yumei; Bao, Huixin; Gao, Jinghui; Zhou, Chao; Ren, Xiaobing

doi:10.1063/1.3640214

Cited by 263 publications

(158 citation statements)

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“…Later in the 1990s, relaxor type piezoelectric single crystal materials, such as PMN-PT (Pb(Mg 1/3 Nb 2/3 )O 3 -xPbTiO 3 ) and PZN-PT(Pb(Zn 1/3 Nb 2/3 )O 3 -xPbTiO 3 ) were discovered [6][7][8][9][10][11]. All these Pb-based piezoelectric materials dominate the actuator applications of piezoelectric materials due to their high longitudinal electromechanical coupling [15] Up to now, the widely investigated Pb-free piezoelectric materials have focused on, but are not limited to KNN ((K 1/2 Na 1/2 )NbO 3 )-based, BNT ((Bi 1/2 Na 1/2 )TiO 3 ) or BKT ((Bi 1/2 K 1/2 )TiO 3 )-based, and BaTiO 3 -based ferroelectric material systems, which show large piezoelectric response [17][18][19][20][21][22][23][24][25][26][27]. Among these potential substitutions for PZT, the class of BaTiO 3 -based piezoelectric material is easy to process with better electromechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

et al. 2017

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Due to issues with Pb toxicity, there is an urgent need for high performance Pb-free alternatives to Pb-based piezoelectric ceramics. Although pure BaTiO 3 material exhibits fairly low piezoelectric coefficients, further designing of such a material system greatly enhances the piezoelectric response by means of domain engineering, defects engineering, as well as phase boundary engineering. Especially after the discovery of a Ba(Zr 0.2 Ti 0.8 )O 3 -x(Ba 0.7 Ca 0.3 )TiO 3 system with extraordinarily high piezoelectric properties (d 33 > 600 pC/N), BaTiO 3 -based piezoelectric ceramics are considered as one of the promising Pb-free substitutes. In the present contribution, we summarize the idea of designing high property BaTiO 3 piezoceramic through domain engineering, defect-doping, as well as morphotropic phase boundary (MPB). In spite of its drawback of low Curie temperature, BaTiO 3 -based piezoelectric materials can be considered as an excellent model system for exploring the physics of highly piezoelectric materials. The relevant material design strategy in BaTiO 3 -based materials can provide guidelines for the next generation of Pb-free materials with even better piezoelectric properties that can be anticipated in the near future.

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confidence: 99%

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

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“…3 (BHT-BCT) were also studied with high piezoelectric properties. 5,6) These systems showed phase diagrams with a morphotropic phase boundary (MPB) starting from a triple point of a paraelectric cubic (C), ferroelectric rhombohedral (R), and tetragonal (T) phases similar to Pbcontained systems. The MPB separates a phase diagram into 2 regions having different symmetry: an R-phase (BZT/ BST/BHT side) and a T-phase (BCT side).…”

Section: Introductionmentioning

confidence: 99%

Ferroelectric and Piezoelectric Properties of Lead-Free BCT-<i>x</i>BZT Solid Solutions

et al. 2015

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Lead-free BCT-xBZT solid solutions were prepared by the conventional solid-state reaction route. A full set of elastic, piezoelectric, and dielectric parameters were measured using a resonance method and calculated following the formulae in the IEEE standard for piezoelectric ceramics. In addition, ferroelectric properties were also investigated to demonstrate the "softening" and the diffuse transitions in the material.

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“…This approach has led to a number of BaTiO3-based solid solutions, such as x (Ba0.7Ca0.3) TiO3−Ba(Zr0.2Ti0.8)O3, x (Ba0.7Ca0.3)TiO3−Ba(Sn0.12Ti0.88) O3 and x (Ba0.7Ca0.3)TiO3−Ba(Hf0.2Ti0.8)O3 (17,20,21), which afford ease of synthesis but are characterized by an MPB with significant curvature. The choice of dopant added to…”

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Accelerated search for BaTiO ₃ -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Xue

Balachandran

Yuan

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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An outstanding challenge in the nascent field of materials informatics is to incorporate materials knowledge in a robust Bayesian approach to guide the discovery of new materials. Utilizing inputs from known phase diagrams, features or material descriptors that are known to affect the ferroelectric response, and Landau-Devonshire theory, we demonstrate our approach for BaTiO 3 -based piezoelectrics with the desired target of a vertical morphotropic phase boundary. We predict, synthesize, and characterize a solid solution, (Ba 0.5 Ca 0.5 )TiO 3 -Ba(Ti 0.7 Zr 0.3 )O 3 , with piezoelectric properties that show better temperature reliability than other BaTiO 3 -based piezoelectrics in our initial training data.piezoelectric materials | materials informatics | Bayesian learning | morphotropic phase boundary | Pb-free materials A ccelerating the process of materials design and discovery is an emerging theme in materials science (1). The emphasis has so far largely been on screening databases or using datadriven approaches that infer predictions directly from the data, be it from high-throughput calculations or experimental measurements (2-6). However, a distinguishing aspect of materials science is that in addition to data there exists a substantial body of knowledge in the form of phenomenological models and physical theories that could be used to constrain the inference models. Hence, a key challenge in materials informatics is to incorporate knowledge to make predictions that are more robust than would be possible by using data alone. Although such knowledge is used in choosing features or descriptors for materials informatics (7-9), it has seldom been used to encode prior information in the form of probability distributions and uncertainties for predicting novel materials with desired properties. Bayesian inference, which permits integration of prior knowledge or beliefs with the observed data, has shown considerable promise in cancer genomics (10) using metabolic pathway information, and in systems biology (11), but has been little explored in materials science. Our objective is to combine empirical data and materials knowledge within a Bayesian approach coupled to the results of Landau-Devonshire theory (12, 13) to design better BaTiO3-based lead-free piezoelectrics.Piezoelectric materials, such as the solid solutions of BaTiO3, are best suited for exploring Bayesian inference methods because historically they are well modeled by Landau-Devonshire theory (12-14) and equations exist for describing some of the key characteristics that determine the functional response, such as the morphotropic phase boundary (MPB) (15, 16). These equations serve as "constraints" that encode prior knowledge within our Bayesian formalism. Furthermore, BaTiO3-based solid solutions represent an important class of potential substitutes for Pb-based materials, which suffer from environmental concerns. Akin to the Pb-based piezoelectrics, MPBs can be established in BaTiO3-based solid solutions that enable polarization and structural inst...

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Large piezoelectric effect in Pb-free Ba(Ti,Sn)O3-x(Ba,Ca)TiO3 ceramics

Cited by 263 publications

References 20 publications

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

Ferroelectric and Piezoelectric Properties of Lead-Free BCT-<i>x</i>BZT Solid Solutions

Accelerated search for BaTiO ₃ -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

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Large piezoelectric effect in Pb-free Ba(Ti,Sn)O3-x(Ba,Ca)TiO3 ceramics

Cited by 263 publications

References 20 publications

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

Recent Progress on BaTiO3-Based Piezoelectric Ceramics for Actuator Applications

Ferroelectric and Piezoelectric Properties of Lead-Free BCT-<i>x</i>BZT Solid Solutions

Accelerated search for BaTiO 3 -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

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Accelerated search for BaTiO ₃ -based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning