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An automated and robotic complex based on a xenon gamma-ray spectrometer for performing tasks for decommissioning nuclear and radiation hazardous facilities and monitoring the development of radioactive waste

Journal of physics. Conference series, 2023-11, Vol.2642 (1), p.12011

2023

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Investigation of the Capabilities of a Xenon Gamma-Ray Spectrometer to Assess the Activity of an Isotope 60Co

Physics of particles and nuclei letters, 2024, Vol.21 (4), p.739-742

2024

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Gamma Spectrometry System for Decommissioning Nuclear Facilities

Bulletin of the Lebedev Physics Institute, 2020-06, Vol.47 (6), p.176-180

2020

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Impact of Collimator and Absorber on the Spectra Measured with High Pressure Xenon Gamma-Ray Spectrometer Prototype

Radioactive Waste, 2024, Vol.26 (1), p.26-34

2024

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Prospects of Xenon Gamma Spectrometer Application as a Recording Device on Board of an Automated and Robotic Gamma-Ray Spectrometric Complex for the Decommissioning of Nuclear Physical Installations

Radioactive Waste, 2022, Vol.19 (2), p.56-67

2022

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Estimation of the size of drug-like chemical space based on GDB-17 data

Journal of computer-aided molecular design, 2013-08, Vol.27 (8), p.675-679

2013

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Artificial intelligence in synthetic chemistry: achievements and prospects

Russian chemical reviews, 2017-12, Vol.86 (11), p.1127-1156

2017

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Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions

International journal of molecular sciences, 2020-08, Vol.21 (15), p.5542

2020

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Theoretical insight into the catalytic effect of transition metal ions on the aquathermal degradation of heavy oil: A DFT study of cyclohexyl phenyl ether cleavage

Fuel (Guildford), 2022-03, Vol.311, p.122595, Article 122595

2022

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Theoretical insight into the catalytic effect of transition metal ions on the aquathermal degradation of heavy oil: A DFT study of cyclohexyl phenyl amine cleavage

Fuel (Guildford), 2022-03, Vol.312, p.123002, Article 123002

2022

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Discovery of novel chemical reactions by deep generative recurrent neural network

Scientific reports, 2021-02, Vol.11 (1), p.3178-3178, Article 3178

2021

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Automatized Assessment of Protective Group Reactivity: A Step Toward Big Reaction Data Analysis

Journal of chemical information and modeling, 2016-11, Vol.56 (11), p.2140-2148

2016

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Sydnone-alkyne cycloaddition: Which factors are responsible for reaction rate ?

Journal of molecular structure, 2019-12, Vol.1198, p.126897, Article 126897

2019

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Cross-validation strategies in QSPR modelling of chemical reactions

SAR and QSAR in environmental research, 2021-03, Vol.32 (3), p.207-219

2021

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CGRtools: Python Library for Molecule, Reaction, and Condensed Graph of Reaction Processing

Journal of chemical information and modeling, 2019-06, Vol.59 (6), p.2516-2521

2019

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Editorial: Chemical Reactions Mining

Molecular informatics, 2022-09, Vol.41 (9), p.e2200044-n/a

2022

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Ligand-Based Pharmacophore Modeling Using Novel 3D Pharmacophore Signatures

Molecules (Basel, Switzerland), 2018-11, Vol.23 (12), p.3094

2018

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QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning Approach

Journal of chemical information and modeling, 2021-10, Vol.61 (10), p.4913-4923

2021

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Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies

Molecular informatics, 2022-04, Vol.41 (4), p.e2100138-n/a

2022

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Probabilistic Approach for Virtual Screening Based on Multiple Pharmacophores

Molecules (Basel, Switzerland), 2020-01, Vol.25 (2), p.385

2020

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Conjugated Quantitative Structure-Property Relationship Models: Prediction of Kinetic Characteristics Linked by the Arrhenius Equation

Molecular informatics, 2023-10, Vol.42 (10), p.e2200275-e2200275

2023

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Reaction Data Curation I: Chemical Structures and Transformations Standardization

Molecular informatics, 2021-12, Vol.40 (12), p.e2100119-n/a

2021

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Active learning approaches in molecule pKi prediction

Molecular informatics, 2024-08, p.e202400154

2024

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Multi-Instance Learning Approach to the Modeling of Enantioselectivity of Conformationally Flexible Organic Catalysts

Journal of chemical information and modeling, 2023-11, Vol.63 (21), p.6629-6641

2023

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Virtual Screening Using Pharmacophore Models Retrieved from Molecular Dynamic Simulations

International journal of molecular sciences, 2019-11, Vol.20 (23), p.5834

2019

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An automated and robotic complex based on a xenon gamma-ray spectrometer for performing tasks for decommissioning nuclear and radiation hazardous facilities and monitoring the development of radioactive waste

Investigation of the Capabilities of a Xenon Gamma-Ray Spectrometer to Assess the Activity of an Isotope 60Co

Gamma Spectrometry System for Decommissioning Nuclear Facilities

Impact of Collimator and Absorber on the Spectra Measured with High Pressure Xenon Gamma-Ray Spectrometer Prototype

Prospects of Xenon Gamma Spectrometer Application as a Recording Device on Board of an Automated and Robotic Gamma-Ray Spectrometric Complex for the Decommissioning of Nuclear Physical Installations

Estimation of the size of drug-like chemical space based on GDB-17 data

Artificial intelligence in synthetic chemistry: achievements and prospects

Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions

Theoretical insight into the catalytic effect of transition metal ions on the aquathermal degradation of heavy oil: A DFT study of cyclohexyl phenyl ether cleavage

Theoretical insight into the catalytic effect of transition metal ions on the aquathermal degradation of heavy oil: A DFT study of cyclohexyl phenyl amine cleavage

Discovery of novel chemical reactions by deep generative recurrent neural network

Automatized Assessment of Protective Group Reactivity: A Step Toward Big Reaction Data Analysis

Sydnone-alkyne cycloaddition: Which factors are responsible for reaction rate ?

Cross-validation strategies in QSPR modelling of chemical reactions

CGRtools: Python Library for Molecule, Reaction, and Condensed Graph of Reaction Processing

Editorial: Chemical Reactions Mining

Ligand-Based Pharmacophore Modeling Using Novel 3D Pharmacophore Signatures

QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning Approach

Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies

Probabilistic Approach for Virtual Screening Based on Multiple Pharmacophores

Conjugated Quantitative Structure-Property Relationship Models: Prediction of Kinetic Characteristics Linked by the Arrhenius Equation

Reaction Data Curation I: Chemical Structures and Transformations Standardization

Active learning approaches in molecule pKi prediction

Multi-Instance Learning Approach to the Modeling of Enantioselectivity of Conformationally Flexible Organic Catalysts

Virtual Screening Using Pharmacophore Models Retrieved from Molecular Dynamic Simulations

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