1.8k citations · 1.8k across the 2 of their papers we have counts for
2 papers
physics.comp-ph2019★ 42 cited
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Dipendra Jha, Logan Ward, Zijiang Yang +5
Materials discovery is crucial for making scientific advances in many domains. Collections of data from experiments and first-principle computations have spurred interest in applyi…
cond-mat.mtrl-sci2016★ 1.8k cited
A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
Logan Ward, Ankit Agrawal, Alok Choudhary +1
A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior example…