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Vadim Tynchenko

Showing results (1-10 of 24) with videos related to

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Polymers|September 28, 2024
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|February 26, 2025
Boosting-Based Machine Learning Applications in Polymer Science: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|February 26, 2025
Support Vector Machines in Polymer Science: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|April 26, 2025
Physics-Informed Neural Networks in Polymers: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
International Journal of Molecular Sciences|April 13, 2024
Optimizing Neural Networks for Chemical Reaction Prediction: Insights from Methylene Blue Reduction ReactionsIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|June 27, 2024
A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite MaterialsIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|September 27, 2025
Data-Driven Optimization of Discontinuous and Continuous Fiber Composite Processes Using Machine Learning: A ReviewIvan Malashin, Dmitry Martysyuk, Vadim Tynchenko, et al.
Polymers|May 11, 2024
Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine Learning ApproachIvan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Discover Nano|February 27, 2026
A review of applications of machine learning in quantum dots researchIvan Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Polymers|March 28, 2024
Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning ApproachesIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Polymers|September 28, 2024
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|February 26, 2025
Boosting-Based Machine Learning Applications in Polymer Science: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|February 26, 2025
Support Vector Machines in Polymer Science: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|April 26, 2025
Physics-Informed Neural Networks in Polymers: A ReviewIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
International Journal of Molecular Sciences|April 13, 2024
Optimizing Neural Networks for Chemical Reaction Prediction: Insights from Methylene Blue Reduction ReactionsIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|June 27, 2024
A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite MaterialsIvan Malashin, Vadim Tynchenko, Andrei Gantimurov, et al.
Polymers|September 27, 2025
Data-Driven Optimization of Discontinuous and Continuous Fiber Composite Processes Using Machine Learning: A ReviewIvan Malashin, Dmitry Martysyuk, Vadim Tynchenko, et al.
Polymers|May 11, 2024
Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine Learning ApproachIvan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Discover Nano|February 27, 2026
A review of applications of machine learning in quantum dots researchIvan Malashin, Dmitry Martysyuk, Vladimir Nelyub, et al.
Polymers|March 28, 2024
Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning ApproachesIvan Malashin, Dmitriy Martysyuk, Vadim Tynchenko, et al.
Pageof 3