La-doped PMN-PT transparent ceramics with ultra-high electro-optic effect and its application in optical devices

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.

Physics-embedded machine learning search for Sm-doped PMN-PT piezoelectric ceramics with high performance

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.

Greatly enhanced electro-optic modulation efficiency in titanium in-diffusion PIN-PMN-PT waveguide

Electro-optic modulators,which convert electrical signals onto the transmission light,are key devices in electro-optic modulating systems.Modulation efficiency is one of the most important parameters of an electro-optic modulator,which directly determines the footprint and power consumption of the device.Generally,modulation efficiency strongly depends on the electro-optic response of the crystal.The Pb(In_(1/2)Nb_(1/2))O_(3)-Pb(Mg_(1/3)Nb_(2/3))O_(3)-PbTiO_(3)(PIN-PMN-PT)single crystal with giant electro-optic coefficient(λ_(c))and high transparency indicates the potential to achieve greatly enhanced modulation efficiency.In this study,a prototype PIN-PMN-PT phase modulator was fabricated based on a titanium(Ti)in-diffusion waveguide,which is reported for the first time.The influences of titanium in-diffusion on the composition and domain structure of the PIN-PMN-PT single crystal were studied by transmission electron microscopy(TEM)and piezoelectric force microscopy(PFM),respectively.Finally,a half-wave voltage(V_(π))of 2.3 V was obtained using a device with 6-mm-long(L)electrodes.Furthermore,the electro-optic modulation efficiency(V_(π)L)was calculated as 1.38 V-cm,which was approximately one order of magnitude lower than that of commercial lithium niobate(LiNbO_(3),LN)phase modulators.Such enhanced modulation efficiency indicates more compact device and lower power consumption,which is of great significance for electro-optic modulation systems used in micro-fiber gyroscope,integrated photonic devices,etc.

PMN-PT晶体折射率的精确测量

折射率是光学晶体的基本参数,准确测定晶体的折射率能够为晶体的电光、声光、非线性应用提供基本计算参数和实验参量。为了准确测定Pb(Mg_(1/3)Nb_(2/3))O_(3)-PbTiO_(3)(PMN-PT)晶体在可见光和近红外波段的折射率系数,搭建了激光自准直折射率测量系统,对纯铌酸锂晶体的折射率测试结果与现有文献报道误差小于1/1000,使用该系统对沿<001>极化的Pb(Mg_(1/3)Nb_(2/3))O_(3)-0.39PbTiO_(3)(PMN-0.39PT)单畴晶体进行了测定,得到了单畴的PMN-0.39PT晶体在波长分别为594 nm、633 nm、1150 nm和1520 nm时的折射率和色散方程,测量结果与现有文献规律性一致。结果表明该方法可用于准确快速测定新型电光晶体折射率。