Работы, цитирующие эту работу

Работ: 2

Работа: Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networks

1. Building Up QSPR for Polymers Endpoints by Using SMILES-Based Optimal Descriptors

   В. О. Кудышкин, Alla P. Toropova

   ГлаваComputational Drug Discovery MethodsChallenges and advances in computational chemistry and physics2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.440875

2. Application of monomer structures and fragments of local symmetry for simulation of glass transition temperatures of polymers

   Alla P. Toropova, Andrey A. Toropov, В. О. Кудышкин +2

   СтатьяAdsorption, diffusion, and thermodynamic properties of materialsSAR and QSAR in environmental research2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001695