598 citations · 1.7k across the 18 of their papers we have counts for
18 papers
Complex pressure-temperature structural phase diagram of honeycomb iridate CuIrO
G. Fabbris, A. Thorn, W. Bi +8
is among the newest layered honeycomb iridates and a promising candidate to harbor a Kitaev quantum spin liquid state. Here, we investigate the pressure and te…
Towards high-throughput superconductor discovery via machine learning
Stephen R. Xie, Y. Quan, Ajinkya Hire +5
Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner a…
Inhomogeneous Kondo-lattice in geometrically frustrated PrIrO
Mariam Kavai, Joel Friedman, Kyle Sherman +12
Magnetic fluctuations induced by geometric frustration of local Ir-spins disturb the formation of long range magnetic order in the family of pyrochlore iridates, RIrO$_…
MAISE: Construction of neural network interatomic models and evolutionary structure optimization
Samad Hajinazar, Aidan Thorn, Ernesto D. Sandoval +2
Module for ab initio structure evolution (MAISE) is an open-source package for materials modeling and prediction. The code's main feature is an automated generation of neural netwo…
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…
Stratified construction of neural network based interatomic models for multicomponent materials
Samad Hajinazar, Junping Shao, Aleksey N. Kolmogorov
Recent application of neural networks (NNs) to modeling interatomic interactions has shown the learning machines' encouragingly accurate performance for select elemental and multic…