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机译:机器学习辅助QSPR模型,用于预测离子液体折射率和粘度:离子液体和集合模型开发的效果
Zhengzhou Univ Dept Pharm Affiliated Hosp 1 Jianshedong Rd 1 Zhengzhou Peoples R China;
Northwest Univ Xian 3 Hosp Dept Pharm Affiliated Hosp Xian Peoples R China;
Zhengzhou Univ Dept Pharm Affiliated Hosp 1 Jianshedong Rd 1 Zhengzhou Peoples R China;
Zhengzhou Univ Dept Pharm Affiliated Hosp 1 Jianshedong Rd 1 Zhengzhou Peoples R China;
Zhengzhou Univ Dept Pharm Affiliated Hosp 1 Jianshedong Rd 1 Zhengzhou Peoples R China;
Wuhan Univ Dept Urol Tongren Hosp Wuhan Hosp 3 Wuhan Peoples R China;
Zhengzhou Univ Dept Pharm Affiliated Hosp 1 Jianshedong Rd 1 Zhengzhou Peoples R China;
Fourth Mil Med Univ Xijing Hosp Dept Pharm 127 Changle West St Xian Peoples R China;
Ionic liquid; QSPRs; Molecular fingerprint; Ensemble model; Viscosity;
机译:基于分子指纹的机器学习辅助QSAR模型开发,用于预测离子液体性能
机译:使用QSPR模型估算离子液体的离子电导率和粘度
机译:使用QSPR模型估算离子液体的离子电导率和粘度
机译:线性和非线性定量结构-性质关系(QSPR)模型,用于预测离子液体的折射率
机译:离子液体和磁性离子液体的合成及其在分散液-液微萃取中的应用
机译:结构表示—建立离子液体的QSAR / QSPR模型的关键
机译:结构的表示-A离子液体QSAR / QSPR模型的关键点
机译:QspR和人工神经网络预测含能离子液体的双曲点火延迟