Ekaterina Izgorodina

Affiliations: 
Monash Univerisity 
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"Ekaterina Izgorodina"
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Publications

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Singh A, Mason TG, Lu Z, et al. (2023) Structural elucidation of polydopamine facilitated by ionic liquid solvation. Physical Chemistry Chemical Physics : Pccp
Low K, Coote ML, Izgorodina EI. (2023) Accurate Prediction of Three-Body Intermolecular Interactions via Electron Deformation Density-Based Machine Learning. Journal of Chemical Theory and Computation. 19: 1466-1475
Low K, Coote ML, Izgorodina EI. (2022) Explainable Solvation Free Energy Prediction Combining Graph Neural Networks with Chemical Intuition. Journal of Chemical Information and Modeling
Low K, Coote ML, Izgorodina EI. (2022) Inclusion of More Physics Leads to Less Data: Learning the Interaction Energy as a Function of Electron Deformation Density with Limited Training Data. Journal of Chemical Theory and Computation. 18: 1607-1618
Seeger ZL, Izgorodina EI. (2021) A DLPNO-CCSD(T) benchmarking study of intermolecular interactions of ionic liquids. Journal of Computational Chemistry
Belotti M, Lyu X, Xu L, et al. (2021) Experimental Evidence of Long-Lived Electric Fields of Ionic Liquid Bilayers. Journal of the American Chemical Society
Low K, Kobayashi R, Izgorodina EI. (2020) The effect of descriptor choice in machine learning models for ionic liquid melting point prediction. The Journal of Chemical Physics. 153: 104101
Xu L, Izgorodina EI, Coote ML. (2020) Ordered Solvents and Ionic Liquids Can be Harnessed for Electrostatic Catalysis. Journal of the American Chemical Society
Wylie L, Seeger ZL, Hancock AN, et al. (2018) Increased stability of nitroxide radicals in ionic liquids: more than a viscosity effect. Physical Chemistry Chemical Physics : Pccp
Seeger ZL, Kobayashi R, Izgorodina EI. (2018) Cluster approach to the prediction of thermodynamic and transport properties of ionic liquids. The Journal of Chemical Physics. 148: 193832
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