The piezoresponse behavior dependence of the Pb(Mg1/3Nb2/3)O3-30%PbTiO3 single crystal on the vacuum degree has been investigated by scanning force microscopy in the piezoresponse mode under high vacuum. Unusual piezo...The piezoresponse behavior dependence of the Pb(Mg1/3Nb2/3)O3-30%PbTiO3 single crystal on the vacuum degree has been investigated by scanning force microscopy in the piezoresponse mode under high vacuum. Unusual piezo- response behavior related to the screening charges compensation mechanism is observed on the (111) crystal face. The significant piezoresponse degradation behavior with low piezoresponse signal under high vacuum is attributed to the instability of the polarization state due to the insufficient compensation of the intrinsic screening charges for the polarization charges in PMN-30%PT single crystal. In contrast, the remarkable domain contrast of the sample at ambient pressure is owing to the dominant surface screening charges deriving from surface adsorption, which plays an important role in determining the stability of the domain behavior and in achieving the optimal properties.展开更多
Pb(Mg_(1/3)Nb_(2/3))O_(3)–PbTiO_(3)(PMN-PT)piezoelectric ceramics have excellent piezoelectric properties and are used in a wide range of applications.Adjusting the solid solution ratios of PMN/PT and different conce...Pb(Mg_(1/3)Nb_(2/3))O_(3)–PbTiO_(3)(PMN-PT)piezoelectric ceramics have excellent piezoelectric properties and are used in a wide range of applications.Adjusting the solid solution ratios of PMN/PT and different concentrations of elemental doping are the main methods to modulate their piezoelectric coefficients.The combination of these controllable conditions leads to an exponential increase of possible compositions in ceramics,which makes it not easy to extend the sample data by additional experimental or theoretical calculations.In this paper,a physics-embedded machine learning method is proposed to overcome the difficulties in obtaining piezoelectric coefficients and Curie temperatures of Sm-doped PMN-PT ceramics with different components.In contrast to all-data-driven model,physics-embedded machine learning is able to learn nonlinear variation rules based on small datasets through potential correlation between ferroelectric properties.Based on the model outputs,the positions of morphotropic phase boundary(MPB)with different Sm doping amounts are explored.We also find the components with the best piezoelectric property and comprehensive performance.Moreover,we set up a database according to the obtained results,through which we can quickly find the optimal components of Sm-doped PMN-PT ceramics according to our specific needs.展开更多
Transparent electro-optic(EO)ceramics of La-doped 0.75Pb(Mg_(1/3)Nb_(2/3))O_(3)-0.25PbTiO_(3)(0.75PMN-0.25PT)were prepared successfully.High transparency of 69%in the near-infrared(IR)wavelength(1550 nm)was achieved a...Transparent electro-optic(EO)ceramics of La-doped 0.75Pb(Mg_(1/3)Nb_(2/3))O_(3)-0.25PbTiO_(3)(0.75PMN-0.25PT)were prepared successfully.High transparency of 69%in the near-infrared(IR)wavelength(1550 nm)was achieved at 2 mo1%La doping,meanwhile it shows an extremely high quadratic EO coeficient of 45.4×10^(-16)m^(2)·V^(-2),which s indispensable for applications in EO devices.The distribution of a polar nanodomain structure of the samples experiences disorder-order-disorder evolution in a La doping range.It is found that a parallelly-stacked polar nanodomain structure with an easier and faster polarization switching in the 2 mol%La-doped sample suggests that an ordering distribution of polar nanoregions would be critical to inducing large EO effect,transparency,and piezoelectric response.A triple-cavity tunable optical filter(TOF)with a single transmission peak and a tuning voltage below 30 V in a tuning range of 190-197 THz was designed based on our ceramics.The work is believed to bridge the relationship among doping-engineering,EO properties,and polarization behavior,which would guide the further optimization of transparent EO ceramics.展开更多
基金supported by the National Natural Sciences Foundation of China(Grant No.59995520)the National“863”High Technology Research and Development Program of China(Grant No.2001AA325030)the National“973”Key Basic Program of China(Grant No.2002CB613307)
文摘The piezoresponse behavior dependence of the Pb(Mg1/3Nb2/3)O3-30%PbTiO3 single crystal on the vacuum degree has been investigated by scanning force microscopy in the piezoresponse mode under high vacuum. Unusual piezo- response behavior related to the screening charges compensation mechanism is observed on the (111) crystal face. The significant piezoresponse degradation behavior with low piezoresponse signal under high vacuum is attributed to the instability of the polarization state due to the insufficient compensation of the intrinsic screening charges for the polarization charges in PMN-30%PT single crystal. In contrast, the remarkable domain contrast of the sample at ambient pressure is owing to the dominant surface screening charges deriving from surface adsorption, which plays an important role in determining the stability of the domain behavior and in achieving the optimal properties.
基金Project supported by the National Natural Science Foundation of China (Grant Nos.52272116 and 12002400)the Natural Science Foundation of Shandong Province (Grant No.ZR2021ME096)the Youth Innovation Team Project of Shandong Provincial Education Department (Grant No.2019KJJ012)。
文摘Pb(Mg_(1/3)Nb_(2/3))O_(3)–PbTiO_(3)(PMN-PT)piezoelectric ceramics have excellent piezoelectric properties and are used in a wide range of applications.Adjusting the solid solution ratios of PMN/PT and different concentrations of elemental doping are the main methods to modulate their piezoelectric coefficients.The combination of these controllable conditions leads to an exponential increase of possible compositions in ceramics,which makes it not easy to extend the sample data by additional experimental or theoretical calculations.In this paper,a physics-embedded machine learning method is proposed to overcome the difficulties in obtaining piezoelectric coefficients and Curie temperatures of Sm-doped PMN-PT ceramics with different components.In contrast to all-data-driven model,physics-embedded machine learning is able to learn nonlinear variation rules based on small datasets through potential correlation between ferroelectric properties.Based on the model outputs,the positions of morphotropic phase boundary(MPB)with different Sm doping amounts are explored.We also find the components with the best piezoelectric property and comprehensive performance.Moreover,we set up a database according to the obtained results,through which we can quickly find the optimal components of Sm-doped PMN-PT ceramics according to our specific needs.
基金supported by the National Natural Science Foundation of China(Grant No.61971459)the Fund from Science,Technology and Innovation Commission of Shenzhen Municipality(Grant No.JCYJ2019080909-5009521)+2 种基金the Innovation Team Program of Hubei Province,China(Grant No.2019CFA004)the Innovation Fund of Wuhan National Laboratory for Optoelectronics&Optical Valley Laboratory(WNLO)2022 Shenzhen Central Leading Local Science and Technology Development Special Funding Program Virtual University Park Laboratory Project.
文摘Transparent electro-optic(EO)ceramics of La-doped 0.75Pb(Mg_(1/3)Nb_(2/3))O_(3)-0.25PbTiO_(3)(0.75PMN-0.25PT)were prepared successfully.High transparency of 69%in the near-infrared(IR)wavelength(1550 nm)was achieved at 2 mo1%La doping,meanwhile it shows an extremely high quadratic EO coeficient of 45.4×10^(-16)m^(2)·V^(-2),which s indispensable for applications in EO devices.The distribution of a polar nanodomain structure of the samples experiences disorder-order-disorder evolution in a La doping range.It is found that a parallelly-stacked polar nanodomain structure with an easier and faster polarization switching in the 2 mol%La-doped sample suggests that an ordering distribution of polar nanoregions would be critical to inducing large EO effect,transparency,and piezoelectric response.A triple-cavity tunable optical filter(TOF)with a single transmission peak and a tuning voltage below 30 V in a tuning range of 190-197 THz was designed based on our ceramics.The work is believed to bridge the relationship among doping-engineering,EO properties,and polarization behavior,which would guide the further optimization of transparent EO ceramics.
