结果表明,单体和聚合物均呈现向列型液晶织态结构,聚合物在较宽的温度范围内有很好的液晶性。
The results show that the texture of monomer and polymer are the type of nematic liquid crystalline, and the polymer has good liquid crystal performance .
信息温度向列液晶阶段17383化合物被用来训练神经网络以获取这种材料的财产直接从他们的化学结构。
The clearing temperatures of nematic liquid-crystalline phases of 17383 compounds were used to train neural networks to derive this material property directly from their chemical structure.
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