activity
20142023
most citedHigh-Throughput Computational Screening of thermal conductivity, Debye temperature and Grüneisen parameter using a quasi-harmonic Debye Model

312 citations · 823 across the 10 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

8 papers · 1 filter

cond-mat.mtrl-sci2016

AFLUX: The LUX materials search API for the AFLOW data repositories

Frisco Rose, Cormac Toher, Eric Gossett +4

Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented…

cond-mat.mtrl-sci20162 cited

Predicting the lattice thermal conductivity of solids by solving the Boltzmann transport equation: AFLOW - AAPL an automated, accurate and effcient framework

Jose J. Plata, Demet Usanmaz, Pinku Nath +7

One of the most accurate approaches for calculating lattice thermal conductivity, , is solving the Boltzmann transport equation starting from third-order anharmonic force cons…

cond-mat.mtrl-sci20161 cited

Addressing the lattice stability puzzle in the computational determination of intermetallic phase diagrams

Shmuel Barzilai, Cormac Toher, Stefano Curtarolo +1

The evaluation of phase stabilities of unstable elemental phases is a long-standing problem in the computational assessment of phase diagrams. Here we tackle this problem by explic…

cond-mat.mtrl-sci2016

High Throughput combinatorial method for fast and robust prediction of lattice thermal conductivity

P. Nath, J. J. Plata, D. Usanmaz +4

The lack of computationally inexpensive and accurate ab-initio based methodologies to predict lattice thermal conductivity, without computing the anharmonic force constants or time…

cond-mat.mtrl-sci2016143 cited

Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases

Eric Perim, Dongwoo Lee, Yanhui Liu +8

Metallic glasses have attracted considerable interest in recent years due to their unique combination of superb properties and processability. Predicting bulk metallic glass former…

cond-mat.mtrl-sci20167 cited

The AFLOW Library of Crystallographic Prototypes

Michael J. Mehl, David Hicks, Cormac Toher +4

An easily available resource of common crystal structures is essential for researchers, teachers, and students. For many years this was provided by the U.S. Naval Research Laborato…