135 citations · 299 across the 11 of their papers we have counts for
3 papers · 1 filter
The AFLOW Fleet for Materials Discovery
Cormac Toher, Corey Oses, David Hicks +48
The traditional paradigm for materials discovery has been recently expanded to incorporate substantial data driven research. With the intent to accelerate the development and the d…
AFLOW-ML: A RESTful API for machine-learning predictions of materials properties
Eric Gossett, Cormac Toher, Corey Oses +8
Machine learning approaches, enabled by the emergence of comprehensive databases of materials properties, are becoming a fruitful direction for materials analysis. As a result, a p…
AFLOW: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians
A. R. Supka, T. E. Lyons, L. Liyanage +10
Tight-binding models provide a conceptually transparent and computationally efficient method to represent the electronic properties of materials. With AFLOW we introduce a frame…