Работы, цитирующие эту работу

Работ: 2

Работа: Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates

1. A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

   Fadhel F. Sead, Dharmesh Sur, Anupam Yadav +7

   СтатьяPhase Equilibria and ThermodynamicsChinese Journal of Analytical Chemistry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.010719

2. 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