3 papers
cond-mat.mtrl-sci2019
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…
cond-mat.mtrl-sci2018
Artificial Intelligence for High-Throughput Discovery of Topological Insulators: the Example of Alloyed Tetradymites
Guohua Cao, Runhai Ouyang, Luca M. Ghiringhelli +4
Significant advances have been made in predicting new topological materials using high-throughput empirical descriptors or symmetry-based indicators. To date, these approaches have…
cond-mat.mtrl-sci2018
Analysis of Topological Transitions in Two-dimensional Materials by Compressed Sensing
Carlos Mera Acosta, Runhai Ouyang, Adalberto Fazzio +3
Quantum spin-Hall insulators (QSHIs), i.e., two-dimensional topological insulators (TIs) with a symmetry-protected band inversion, have attracted considerable scientific interest i…