Alloy Property Prediction Using Neural Networks

Clutch | 2020

A novel Neural Network architecture is proposed that takes into account the individual elemental properties of an alloys constituents along with the various process parameters to hopefully capture subtle inter-atomic relations that indirectly have an impact on the mechanical properties of the alloy.This model will require almost no prerequisite knowledge of material science on the designers part to get a good estimate of what a theoretical alloy might behave like

Material Science