Maxim Fedorov

Affiliations: 
Physics University of Strathclyde, Glasgow, Scotland, United Kingdom 
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Osipenko S, Bashkirova I, Sosnin S, et al. (2020) Machine learning to predict retention time of small molecules in nano-HPLC. Analytical and Bioanalytical Chemistry
Subramanian V, Ratkova E, Palmer DS, et al. (2020) Multi-Solvent Models for Solvation Free Energy Predictions using 3D-RISM Hydration Thermodynamic Descriptors. Journal of Chemical Information and Modeling
Shadrin D, Pukalchik M, Kovaleva E, et al. (2020) Artificial intelligence models to predict acute phytotoxicity in petroleum contaminated soils. Ecotoxicology and Environmental Safety. 194: 110410
Ers H, Lembinen M, Mišin M, et al. (2020) Graphene–Ionic Liquid Interfacial Potential Drop from Density Functional Theory-Based Molecular Dynamics Simulations The Journal of Physical Chemistry C. 124: 19548-19555
Sosnin S, Vashurina M, Withnall M, et al. (2018) A Survey of Multi-Task Learning Methods in Chemoinformatics. Molecular Informatics
Sosnin S, Misin M, Palmer DS, et al. (2018) 3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation prediction. Journal of Physics. Condensed Matter : An Institute of Physics Journal. 30: 32LT03
Misin M, Vainikka PA, Fedorov MV, et al. (2016) Salting-out effects by pressure-corrected 3D-RISM. The Journal of Chemical Physics. 145: 194501
Misin M, Palmer DS, Fedorov MV. (2016) Predicting Solvation Free Energies Using Parameter-Free Solvent Models. The Journal of Physical Chemistry. B. 120: 5724-31
Sauerer B, Stukan M, Abdallah W, et al. (2016) Quantifying mineral surface energy by scanning force microscopy. Journal of Colloid and Interface Science. 472: 237-246
Misin M, Fedorov MV, Palmer DS. (2016) Hydration Free Energies of Molecular Ions from Theory and Simulation. The Journal of Physical Chemistry. B. 120: 975-83
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