312 citations · 314 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2016★ 2 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-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-sci2014★ 312 cited
High-Throughput Computational Screening of thermal conductivity, Debye temperature and Grüneisen parameter using a quasi-harmonic Debye Model
Cormac Toher, Jose J. Plata, Ohad Levy +4
The quasi-harmonic Debye approximation has been implemented within the AFLOW and Materials Project frameworks for high-throughput computational science (Automatic Gibbs Library, AG…