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Polymers
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May 11, 2024
Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine Learning Approach
Ivan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Scientific Reports
|
December 27, 2024
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approach
Ivan P Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Materials (Basel, Switzerland)
|
October 26, 2024
Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks
Ivan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
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Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
Polymers
|
May 11, 2024
Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine Learning Approach
Ivan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Scientific Reports
|
December 27, 2024
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approach
Ivan P Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
Materials (Basel, Switzerland)
|
October 26, 2024
Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks
Ivan Malashin, Daniil Daibagya, Vadim Tynchenko, et al.
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of 1