MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

14 Nov 2018Soumya SanyalJanakiraman BalachandranNaganand YadatiAbhishek KumarPadmini RajagopalanSuchismita SanyalPartha Talukdar

Developing accurate, transferable and computationally inexpensive machine learning models can rapidly accelerate the discovery and development of new materials. Some of the major challenges involved in developing such models are, (i) limited availability of materials data as compared to other fields, (ii) lack of universal descriptor of materials to predict its various properties... (read more)

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