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Journal of Chromatography. A
|
August 7, 2024
Large-scale statistical study of the dependence of retention index on heating rate in temperature-programmed gas chromatography
Dmitriy D Matyushin, Anastasia Yu Sholokhova
Chemosphere
|
June 23, 2024
Validation of the identification reliability of known and assumed UDMH transformation products using gas chromatographic retention indices and machine learning
Anastasia E Karnaeva, Anastasia Yu Sholokhova
Molecules (Basel, Switzerland)
|
August 29, 2024
In-Column Dehydration Benzyl Alcohols and Their Chromatographic Behavior on Pyridinium-Based Ionic Liquids as Gas Stationary Phases
Anastasia Yu Sholokhova, Svetlana A Borovikova
Journal of Separation Science
|
November 4, 2024
Ready-to-use Models Built Using a Diverse Set of 266 Aroma Compounds for the Estimation of Gas Chromatographic Retention Indices for the 50%-Cyanopropylphenyl-50%-Dimethylpolysiloxane Stationary Phase
Anastasia Yu Sholokhova, Dmitriy D Matyushin
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 Phases
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Analytical Chemistry
|
September 2, 2020
Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics
Dmitriy 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 indices
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
International Journal of Molecular Sciences
|
December 17, 2024
Uncertainty Quantification and Flagging of Unreliable Predictions in Predicting Mass Spectrometry-Related Properties of Small Molecules Using Machine Learning
Dmitriy D Matyushin, Ivan A Burov, Anastasia Yu Sholokhova
Analytical and Bioanalytical Chemistry
|
September 27, 2024
Critical evaluation of the NIST retention index database reliability with specific examples
Dmitriy D Matyushin, Anastasia E Karnaeva, Anastasia Yu Sholokhova
Journal of Chromatography. A
|
July 12, 2024
Quantitative structure-retention relationships for pyridinium-based ionic liquids used as gas chromatographic stationary phases: convenient software and assessment of reliability of the results
Anastasia Yu Sholokhova, Dmitriy D Matyushin, Mikhail V Shashkov
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Search research articles
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Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Journal of Chromatography. A
|
August 7, 2024
Large-scale statistical study of the dependence of retention index on heating rate in temperature-programmed gas chromatography
Dmitriy D Matyushin, Anastasia Yu Sholokhova
Chemosphere
|
June 23, 2024
Validation of the identification reliability of known and assumed UDMH transformation products using gas chromatographic retention indices and machine learning
Anastasia E Karnaeva, Anastasia Yu Sholokhova
Molecules (Basel, Switzerland)
|
August 29, 2024
In-Column Dehydration Benzyl Alcohols and Their Chromatographic Behavior on Pyridinium-Based Ionic Liquids as Gas Stationary Phases
Anastasia Yu Sholokhova, Svetlana A Borovikova
Journal of Separation Science
|
November 4, 2024
Ready-to-use Models Built Using a Diverse Set of 266 Aroma Compounds for the Estimation of Gas Chromatographic Retention Indices for the 50%-Cyanopropylphenyl-50%-Dimethylpolysiloxane Stationary Phase
Anastasia Yu Sholokhova, Dmitriy D Matyushin
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 Phases
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
Analytical Chemistry
|
September 2, 2020
Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics
Dmitriy 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 indices
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak
International Journal of Molecular Sciences
|
December 17, 2024
Uncertainty Quantification and Flagging of Unreliable Predictions in Predicting Mass Spectrometry-Related Properties of Small Molecules Using Machine Learning
Dmitriy D Matyushin, Ivan A Burov, Anastasia Yu Sholokhova
Analytical and Bioanalytical Chemistry
|
September 27, 2024
Critical evaluation of the NIST retention index database reliability with specific examples
Dmitriy D Matyushin, Anastasia E Karnaeva, Anastasia Yu Sholokhova
Journal of Chromatography. A
|
July 12, 2024
Quantitative structure-retention relationships for pyridinium-based ionic liquids used as gas chromatographic stationary phases: convenient software and assessment of reliability of the results
Anastasia Yu Sholokhova, Dmitriy D Matyushin, Mikhail V Shashkov
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