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Aleksey K Buryak

Showing results (1-10 of 16) with videos related to

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International Journal of Molecular Sciences|February 10, 2024
Thermodynamic Characteristics and Selectivity of the Liquid-Phase Adsorption of Aromatic Compounds on Hypercrosslinked Polystyrene Networks with Ultimate-High Crosslinking Densities by Data of Liquid ChromatographyBulat R Saifutdinov, Aleksey K Buryak
Journal of the American Society for Mass Spectrometry|July 23, 2024
Automated Identification of Ions Observed in Mass Spectra of Inorganic Compounds Using Isotopic Distribution Brute Force: Methodology and Performance MeasurementsViacheslav V Lebedev, Daniil I Yarykin, Aleksey K Buryak
Journal of Chromatography. A|December 3, 2019
A peculiar chromatographic selectivity of porous graphitic carbon during the separation of dileucine isomersAleksey L Milyushkin, Dmitriy D Matyushin, Aleksey K Buryak
International Journal of Molecular Sciences|September 10, 2021
Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary PhasesDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Physical Chemistry Chemical Physics : PCCP|December 1, 2022
Diazines on graphene: adsorption, structural variances and electronic statesOksana I Grinevich, Victor V Volkov, Aleksey K Buryak
Analytical Chemistry|September 2, 2020
Deep Learning Driven GC-MS Library Search and Its Application for MetabolomicsDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Journal of Chromatography. A|August 14, 2019
A deep convolutional neural network for the estimation of gas chromatographic retention indicesDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Chemosphere|July 21, 2022
Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine transformation products with chromatography-mass spectrometryAnastasia Yu Sholokhova, Oksana I Grinevich, Dmitriy D Matyushin, et al.
Biomolecules|December 24, 2021
A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility SpectrometryYulia V Samukhina, Dmitriy D Matyushin, Oksana I Grinevich, et al.
Talanta|January 2, 2020
Analysis of light components in pyrolysis products by comprehensive two-dimensional gas chromatography with PLOT columnsAnastasia Yu Sholokhova, Yuri V Patrushev, Vladimir N Sidelnikov, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
International Journal of Molecular Sciences|February 10, 2024
Thermodynamic Characteristics and Selectivity of the Liquid-Phase Adsorption of Aromatic Compounds on Hypercrosslinked Polystyrene Networks with Ultimate-High Crosslinking Densities by Data of Liquid ChromatographyBulat R Saifutdinov, Aleksey K Buryak
Journal of the American Society for Mass Spectrometry|July 23, 2024
Automated Identification of Ions Observed in Mass Spectra of Inorganic Compounds Using Isotopic Distribution Brute Force: Methodology and Performance MeasurementsViacheslav V Lebedev, Daniil I Yarykin, Aleksey K Buryak
Journal of Chromatography. A|December 3, 2019
A peculiar chromatographic selectivity of porous graphitic carbon during the separation of dileucine isomersAleksey L Milyushkin, Dmitriy D Matyushin, Aleksey K Buryak
International Journal of Molecular Sciences|September 10, 2021
Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary PhasesDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Physical Chemistry Chemical Physics : PCCP|December 1, 2022
Diazines on graphene: adsorption, structural variances and electronic statesOksana I Grinevich, Victor V Volkov, Aleksey K Buryak
Analytical Chemistry|September 2, 2020
Deep Learning Driven GC-MS Library Search and Its Application for MetabolomicsDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Journal of Chromatography. A|August 14, 2019
A deep convolutional neural network for the estimation of gas chromatographic retention indicesDmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Chemosphere|July 21, 2022
Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine transformation products with chromatography-mass spectrometryAnastasia Yu Sholokhova, Oksana I Grinevich, Dmitriy D Matyushin, et al.
Biomolecules|December 24, 2021
A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility SpectrometryYulia V Samukhina, Dmitriy D Matyushin, Oksana I Grinevich, et al.
Talanta|January 2, 2020
Analysis of light components in pyrolysis products by comprehensive two-dimensional gas chromatography with PLOT columnsAnastasia Yu Sholokhova, Yuri V Patrushev, Vladimir N Sidelnikov, et al.
Pageof 2