47 citations · 87 across the 3 of their papers we have counts for
3 papers
Potential energy surface prediction of Alumina polymorphs using graph neural network
Soumya Sanyal, Arun Kumar Sagotra, Narendra Kumar +9
The process of design and discovery of new materials can be significantly expedited and simplified if we can learn effectively from available data. Deep learning (DL) approaches ha…
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati +4
Developing accurate, transferable and computationally inexpensive machine learning models can rapidly accelerate the discovery and development of new materials. Some of the major c…
Data Mining for better material synthesis: the case of pulsed laser deposition of complex oxides
Steven R. Young, Artem Maksov, Maxim Ziatdinov +8
The pursuit of more advanced electronics, finding solutions to energy needs, and tackling a wealth of social issues often hinges upon the discovery and optimization of new function…