Alexander Sedykh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 6

Top Topics

Computational Fluid Dynamics

Forecast Models

Machine Learning

Top Venues

J. Cheminformatics

Mach. Learn. Sci. Technol.

J. Chem. Inf. Model.

Publications

Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov
Quantum machine learning for image classification. Mach. Learn. Sci. Technol. 5 (1) (2024)
Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Alexey Melnikov
Quantum machine learning for image classification. CoRR (2023)
Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. CoRR (2023)
Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Photovoltaic power forecasting using quantum machine learning. CoRR (2023)
Wenyi Wang, Xiliang Yan, Linlin Zhao, Daniel P. Russo, Shenqing Wang, Yin Liu, Alexander Sedykh, Xiaoli Zhao, Bing Yan, Hao Zhu
Universal nanohydrophobicity predictions using virtual nanoparticle library. J. Cheminformatics 11 (1) (2019)
Yen S. Low, Vinicius M. Alves, Denis Fourches, Alexander Sedykh, Carolina Horta Andrade, Eugene N. Muratov, Ivan Rusyn, Alexander Tropsha
Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure-Activity Relationships. J. Chem. Inf. Model. 58 (11) (2018)
Yen S. Low, Alexander Sedykh, Denis Fourches, Alexander Tropsha
Chemistry-wide association studies (CWAS) to determine joint toxicity effects of co-occurring chemical features. J. Cheminformatics 6 (S-1) (2014)
Brienne Sprague, Qian Shi, Marlene T. Kim, Liying Zhang, Alexander Sedykh, Eiichiro Ichiishi, Harukuni Tokuda, Kuo-Hsiung Lee, Hao Zhu
Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers. J. Comput. Aided Mol. Des. 28 (6) (2014)
Liying Zhang, Denis Fourches, Alexander Sedykh, Hao Zhu, Alexander Golbraikh, Sean Ekins, Julie Clark, Michele C. Connelly, Martina Sigal, Dena Hodges, Armand Guiguemde, R. Kiplin Guy, Alexander Tropsha
Discovery of Novel Antimalarial Compounds Enabled by QSAR-Based Virtual Screening. J. Chem. Inf. Model. 53 (2) (2013)
Jui-Hua Hsieh, Shuangye Yin, Shubin Liu, Alexander Sedykh, Nikolay V. Dokholyan, Alexander Tropsha
Combined Application of Cheminformatics- and Physical Force Field-Based Scoring Functions Improves Binding Affinity Prediction for CSAR Data Sets. J. Chem. Inf. Model. 51 (9) (2011)