Vahid Samavatian

5 ta ish

Sharif University of Technology

1. Bayesian machine learning-aided approach bridges between dynamic elasticity and compressive strength in the cement-based mortars

   Ning Wang, Majid Samavatian, Vahid Samavatian +1

   Maqola20238 iqtibos

   ABIABI:AkademIndex/2026.other.059777

2. Correlation-driven machine learning for accelerated reliability assessment of solder joints in electronics

   Vahid Samavatian, Mahmud Fotuhi‐Firuzabad, Majid Samavatian +2

   MaqolaOAOchiq kirish20207 iqtibos

   ABIABI:AkademIndex/2026.other.059735

3. Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study

   Majid Samavatian, Reza Gholamipour, Dmitry Olegovich Bokov +3

   Maqola20213 iqtibos

   ABIABI:AkademIndex/2026.other.059750

4. Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach

   Majid Samavatian, Reza Gholamipour, Vahid Samavatian

   Maqola20202 iqtibos

   ABIABI:AkademIndex/2026.other.059734

5. Estimation of compressive strength of cement mortars using impulse excitation technique and a genetic algorithm

   Muftah Mohamed Baroud, Arif Sarı, Sherzod Abdullaev +2

   MaqolaInnovative concrete reinforcement materialsAdvances in Cement Research20230 iqtibos

   ABIABI:AkademIndex/2023.article.003920