activity
20172021
most citedAFLOW: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2021

Advanced modeling of materials with PAOFLOW 2.0: New features and software design

Frank T. Cerasoli, Andrew R. Supka, Anooja Jayaraj +7

Recent research in materials science opens exciting perspectives to design novel quantum materials and devices, but it calls for quantitative predictions of properties which are no…

cond-mat.mtrl-sci2020

First-Principles Study of Two-Dimensional Ferroelectrics Using Self-Consistent Hubbard Parameters

Jiawei Huang, Sang-Hoon Lee, Andrew Supka +2

The discovery of two-dimensional (2D) materials possessing switchable spontaneous polarization with atomic thickness opens up exciting opportunities to realize ultrathin, high-dens…

cond-mat.mtrl-sci2018

Coordination corrected ab initio formation enthalpies

Rico Friedrich, Demet Usanmaz, Corey Oses +5

The correct calculation of formation enthalpy is one of the enablers of ab-initio computational materials design. For several classes of systems (e.g. oxides) standard density func…

cond-mat.mtrl-sci2018

Giant spin Hall Effect in two-dimensional monochalcogenides

Jagoda Slawinska, Frank T. Cerasoli, Haihang Wang +5

One of the most exciting properties of two dimensional materials is their sensitivity to external tuning of the electronic properties, for example via electric field or strain. Rec…

cond-mat.mtrl-sci2017

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…

cond-mat.mtrl-sci20172 cited

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…