activity
20032026
most citedMn Interstitial Diffusion in (Ga,Mn)As

491 citations · 3.4k across the 51 of their papers we have counts for

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Showing 2016Show all

7 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-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★ 53 cited

Combining the AFLOW GIBBS and Elastic Libraries for efficiently and robustly screening thermo-mechanical properties of solids

Cormac Toher, Corey Oses, Jose J. Plata +8

Thorough characterization of the thermo-mechanical properties of materials requires difficult and time-consuming experiments. This severely limits the availability of data and it i…

cond-mat.mtrl-sci2016★ 40 cited

Accurate tight-binding Hamiltonians: effective tools for electronic transport and optical spectroscopy from first principles

Pino D'Amico, Luis A. Agapito, Alessandra Catellani +5

The calculations of electronic transport coefficients and optical properties require a very dense interpolation of the electronic band structure in reciprocal space that is computa…

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-sci2016

High-Throughput Prediction of Finite-Temperature Properties using the Quasi-Harmonic Approximation

Pinku Nath, Jose J. Plata, Demet Usunmaz +5

In order to calculate thermal properties in automatic fashion, the Quasi-Harmonic Approximation (QHA) has been combined with the Automatic Phonon Library (APL) and implemented with…