A novel lead-free excellent transmittance electro-optic ceramics (1-x)(K 0.5 Na 0.5 )NbO 3 -xLaBiO 3 (KNN-LB, x = 0.000, 0.005, 0.010, 0.015, 0.020, 0.025, 0.040, 0.060) were fabricated by traditional pressureless ceramics processing procedure. The effects of LaBiO 3 dopant concentration x on the microstructure, phase transition, optical property, and electrical properties were studied systematically. The X-ray diffraction results indicated that the KNN-LB ceramics with x ≥ 0.025 have the pseudocubic phase. The morphology, density, and microstructure of the KNN-LB ceramics were characterized by scanning electronic microscopy and optical microscopy. In particular, the KNN-LB ceramics (0.05 mm thickness) with x = 0.025 exhibited the highest transmittance of 74.00% in the visible spectrum comparable to the 72.00% transmittance of the lead lanthanum zirconate titanate (PLZT 9/65/35 of 0.127 mm thickness). In addition, the related mechanism of transparency variation induced by phase transition and grain size modulation were discussed thoroughly. Finally, the dielectric and ferroelectric properties of as-prepared KNN-LB ceramics were also investigated to further clarify the relationship between transparency and relaxor behavior.

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Using the gravimetric method to measure the solubility of p-coumaric acid in nine mono solvents, including methanol, ethanol, 1-propanol, 2-propanol, n-butanol, isobutanol, acetone, ethyl acetate, and methyl acetate, and also in the water + ethanol mixtures from 293.15 to 333.15 K at atmospheric pressure (p = 0.1 MPa). The modified Apelblat equation, van’t Hoff equation, λh equation, nonrandom two-liquid (NRTL) equation, universal quasichemical (UNIQUAC) equation, and Wilson equation were used to correlate the solubility of p-coumaric acid in mono solvents. The modified Apelblat and Jouyban–Acree model were used to correlate the solute solubility of p-coumaric acid in binary mixtures of water + ethanol. The solubility calculated based on the equations mentioned above was in good agreement with the experimental values. The modified Apelblat equation was the most accurate to correlate the experimental data.

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