For example the prediction of young modulus of any material.TENSORFLOW software was used to build this ANN model. Support vector machines (SVM) or support vector regression (SVR) are supervised learning algorithms that utilize kernel functions to identify hyperplanes and transform descriptors into higher-dimensional space. The use of ML algorithms, such as ANN and support vector machines, has shown to be a useful tool for predictions and optimization of materials properties. These algorithms can also predict more than two functions of a material at a time. This approach can aid in developing new materials with desired properties.