TY - JOUR T1 - Prediction of Resulting Properties from Adding Nanoparticles to Polymers by the Aid of MATLAB Software A1 - Nika Nasiri A1 - Amir Mosayebi2 JF - specialty journal of chemistry JO - SPEC. J. CHEM. SN - 2521-3164 Y1 - 2018 VL - 3 IS - 4 SP - 1 EP - 9 N2 - The empirical findings of this study show that glass transition (Tg) temperature is increased by adding MgO-Al2O3 mesopore particles to polymer’s matrix and module of adjusted system is decreased. The impact strength and tensile strength of hybrid materials are increased up to 53.5% and 14% respectively as MgO-Al2O3 content includes weight percentage. The structural morphology of impact fracture surface and hybrid surface was observed by Scanning Electron Microscopy and Atomic Force Microscopy (AFM) respectively. Similarly, experimental databases were presented for better assessment of the given system. The neural networks were utilized for modeling behavior of conversion system. The results indicated that the model with correlation coefficient (R2=0.97) could anticipate thermal efficiency of the conversion system. UR - https://sciarena.com/article/prediction-of-resulting-properties-from-adding-nanoparticles-to-polymers-by-the-aid-of-matlab-software ER -