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SAR and QSAR in Environmental Research Volume 31, 2020 - Issue 2
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Articles

QSPR studies on water solubility, octanol-water partition coefficient and vapour pressure of pesticides

P.R. DuchowiczInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), CONICET, UNLP, La Plata, ArgentinaCorrespondence[email protected]
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Pages 135-148 | Received 06 Nov 2019, Accepted 27 Nov 2019, Published online: 16 Dec 2019

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Z.J. Xiao, J.W. Chen, Y. Wang & Z.Y. Wang. (2023) In silico package models for deriving values of solute parameters in linear solvation energy relationships. SAR and QSAR in Environmental Research 34:1, pages 21-37.
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Zilong Wang, Lu Yang, Ping Cheng, Youyi Yu, Zhigang Zhang & Hong Li. (2021) Adsorption, degradation and leaching migration characteristics of chlorothalonil in different soils. European Journal of Remote Sensing 54:sup2, pages 238-247.
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Articles from other publishers (11)

Pablo R. Duchowicz, Silvina E. Fioressi, Daniel E. Bacelo, Alexander Q. Quispe, Ebbe L. Yapu & Heriberto Castañeta. (2023) QSPR predicting the vapor pressure of pesticides into high/low volatility classes. Environmental Science and Pollution Research.
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Cindy Trinh, Youssef Tbatou, Silvia Lasala, Olivier Herbinet & Dimitrios Meimaroglou. (2023) On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 1—From Data Collection to Model Construction: Understanding of the Methods and Their Effects. Processes 11:12, pages 3325.
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Tanju Yildirim, Meng-Qun Feng, Kota Shiba, Kosuke Minami & Genki Yoshikawa. (2023) A portable audible-range acoustical approach for determining headspace vapour-phase properties. Sensors and Actuators A: Physical 358, pages 114438.
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Yasunari Matsuzaka & Yoshihiro Uesawa. (2023) Computational Models That Use a Quantitative Structure–Activity Relationship Approach Based on Deep Learning. Processes 11:4, pages 1296.
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Tengyi Zhu, Ying Chen & Cuicui Tao. (2023) Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS. Science of The Total Environment 857, pages 159448.
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Hu Zhang, Xiaofang Wang, Mingrong Qian & Yuanxiang Jin. (2022) Atrazine Exposure Induces Hepatic Metabolism Disorder in Male Adult Zebrafish. Toxics 10:7, pages 400.
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Keunhong Jeong, Jin-Young Lee, Seungmin Woo, Dongwoo Kim, Yonggoon Jeon, Tae In Ryu, Seung-Ryul Hwang & Woo-Hyeon Jeong. (2022) Vapor Pressure and Toxicity Prediction for Novichok Agent Candidates Using Machine Learning Model: Preparation for Unascertained Nerve Agents after Chemical Weapons Convention Schedule 1 Update. Chemical Research in Toxicology 35:5, pages 774-781.
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Qi Liu, Dehan Luo, Tengteng Wen, Hamid GholamHosseini & Jingshan Li. (2021) In silico prediction of fragrance retention grades for monomer flavors using QSPR models. Chemometrics and Intelligent Laboratory Systems 218, pages 104424.
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Alina Bora & Simona Funar‐Timofei. 2021. Chemometrics and Cheminformatics in Aquatic Toxicology. Chemometrics and Cheminformatics in Aquatic Toxicology 377 389 .
Tengyi Zhu, Liming Gu, Ming Chen & Feng Sun. (2021) Exploring QSPR models for predicting PUF-air partition coefficients of organic compounds with linear and nonlinear approaches. Chemosphere 266, pages 128962.
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Huayu Zhao & Shaonan Liu. (2021) Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network. Complexity 2021, pages 1-12.
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