1 publication

• Published Subscription 16 Mar 2021

  Discovery of Materials through Applied Machine Learning and General Machine Learning Architecture

  By Supriya Rakshit, Mitali Pathak

  Abstract: Advances in artificial intelligence technologies, especially machine learning, have generated possibilities in the material sciences to facilitate material exploration and to achieve a profound understanding of the relationship between the constituent elements of the material and the properties represented by the material. The application of machine learning to the exploration of experimental materials is sluggish due to the monetary and temporal costs of experimental data, however parallel methods, such as …

  Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 48–57 Read article →