D. Matyushin

发表

Molecular Statistical Modeling for the Identification of Unknown Compounds

D. Matyushin, A. E. Karnaeva, A. K. Buryak, 2020, Russian Journal of Physical Chemistry A.

A deep convolutional neural network for the estimation of gas chromatographic retention indices.

D. Matyushin, A. Sholokhova, A. Buryak, 2019, Journal of chromatography. A.

Various aspects of retention index usage for GC-MS library search: A statistical investigation using a diverse data set

D. Matyushin, A. E. Karnaeva, A. Sholokhova, 2020 .

Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine products with chromatography-mass spectrometry.

D. Matyushin, A. Sholokhova, A. Buryak, 2022, Chemosphere.

Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary Phases

D. Matyushin, A. Sholokhova, A. Buryak, 2021, International journal of molecular sciences.

Isomeric derivatives of triazoles as new toxic decomposition products of 1,1-dimethylhydrazine.

D. Matyushin, A. E. Karnaeva, A. Buryak, 2019, Chemosphere.

Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics.

D. Matyushin, A. Sholokhova, A. Buryak, 2020, Analytical chemistry.

The Influence of the Surface Chemistry of Sorbents on the Efficiency of Separation of Mixed S,N-Derivatives of 1,1-Dimethylhydrazine

D. Matyushin, K. E. Polunin, I. Polunina, 2019, Colloid Journal.

Interaction of S,N-Derivatives of Alkylhydrazines with Carbon Sorbents

D. Matyushin, K. E. Polunin, I. Polunina, 2019, Colloid Journal.

A Comparative Study of Adsorption of Isomeric Molecules on Carbon Sorbents from a Gas and a Liquid

D. Matyushin, A. Buryak, A. N. Ukleina, 2020, Protection of Metals and Physical Chemistry of Surfaces.

Deep learning for retention time prediction in reversed-phase liquid chromatography.

D. Matyushin, A. Buryak, A. Stavrianidi, 2021, Journal of chromatography. A.

Simulation of the Adsorption of Polychlorinated Aromatic Hydrocarbons on Graphitized Thermal Carbon Black for Predicting Chromatographic Retention Values

D. Matyushin, A. Buryak, 2019, Journal of Analytical Chemistry.

Investigating the Effect of the Presence and Arrangement of Functional Groups at the Carbon Sorbent Surface on Adsorption of Nitrogen-Containing Compounds

D. Matyushin, I. Polunina, A. Buryak, 2019, Protection of Metals and Physical Chemistry of Surfaces.

A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility Spectrometry

D. Matyushin, A. Buryak, Oksana I. Grinevich, 2021, Biomolecules.

Chromatographic and Mass-Spectrometric Identification of Linear and Cyclic Peptides Based on Glycine

D. Matyushin, A. Buryak, A. L. Milyushkin, 2018, Journal of Analytical Chemistry.

On the Charge Instability and the Metastable Equilibrium State of a Conducting Droplet during Liquid Electrospraying

D. Matyushin, P. Polyakov, A. Buryak, 2021, Colloid Journal.

A peculiar chromatographic selectivity of porous graphitic carbon during the separation of dileucine isomers.

D. Matyushin, A. Buryak, A. L. Milyushkin, 2019, Journal of Chromatography A.

Effect of Different Factors on Predicting Constants of Acidity of Low-Molecular Organic Compounds by Means of Machine Learning

D. Matyushin, A. Sholokhova, A. Buryak, 2023, Russian Journal of Physical Chemistry A.

Gas Chromatographic Retention Index Prediction Using Multimodal Machine Learning

Dmitriy D. Matyushin, Aleksey K. Buryak, D. Matyushin, 2020, IEEE Access.