Работы, цитирующие эту работу

Работ: 3

Работа: Machine learning prediction of hydrochar adsorption capacity for methylene blue with limited data: Inspired by generative adversarial network-based augmentation

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   ABIABI:AkademIndex/openalex/2026.article.000174

2. DFT Insights into the Adsorption Mechanisms and Electronic Modulation of α-Phographene Toward Metal and Molecular Species: From Physisorption to Quasi Covalent Binding

   Qamar Abuhassan, Ahmed Kareem Obaid Aldulaimi, Omayma Salim Waleed +8

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   ABIABI:AkademIndex/openalex/2026.article.001320

3. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

   Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

   СтатьяMachine Learning in Materials SciencePolymers for Advanced Technologies2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.002922