821 citations · 958 across the 3 of their papers we have counts for
3 papers
Simultaneous Learning of Several Materials Properties from Incomplete Databases with Multi-Task SISSO
Runhai Ouyang, Emre Ahmetcik, Christian Carbogno +2
The identification of descriptors of materials properties and functions that capture the underlying physical mechanisms is a critical goal in data-driven materials science. Only su…
SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates
Runhai Ouyang, Stefano Curtarolo, Emre Ahmetcik +2
The lack of reliable methods for identifying descriptors - the sets of parameters capturing the underlying mechanisms of a materials property - is one of the key factors hindering…
Learning physical descriptors for materials science by compressed sensing
Luca M. Ghiringhelli, Jan Vybiral, Emre Ahmetcik +4
The availability of big data in materials science offers new routes for analyzing materials properties and functions and achieving scientific understanding. Finding structure in th…