Identifiers
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name variant
Fleur Legrain
0.60 · backfill
Papers (12)
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Vibrational properties of metastable polymorph structures by machine learning
cond-mat.mtrl-sci · 2018 · author #1
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The AFLOW Fleet for Materials Discovery
cond-mat.mtrl-sci · 2017 · author #33
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AFLOW-ML: A RESTful API for machine-learning predictions of materials properties
cond-mat.mtrl-sci · 2017 · author #5
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Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus Ab Initio Methods
cond-mat.mtrl-sci · 2017 · author #1
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How the Chemical Composition Alone Can Predict Vibrational Free Energies and Entropies of Solids
cond-mat.mtrl-sci · 2017 · author #1
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A First-Principles Comparative Study of Lithium, Sodium, and Magnesium Storage in Pure and Gallium-Doped Germanium: Competition between Interstitial and Substitutional Sites
cond-mat.mtrl-sci · 2016 · author #1
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Understanding the difference in cohesive energies between alpha and beta tin in DFT calculations
cond-mat.mtrl-sci · 2016 · author #1
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Comparison of alpha- and beta- tin for lithium, sodium, and magnesium storage: an ab initio study including phonon contributions
cond-mat.mtrl-sci · 2015 · author #1
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Amorphous carbon a promising material for sodium ion battery anodes: a first principles study
cond-mat.mtrl-sci · 2015 · author #1
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Highly Accurate Local Pseudopotentials of Li, Na, and Mg for Orbital Free Density Functional Theory
cond-mat.mtrl-sci · 2014 · author #1
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Aluminum doping improves the energetics of lithium, sodium, and magnesium storage in silicon
cond-mat.mtrl-sci · 2014 · author #1
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Comparative Computational Study of the Energetics of Li, Na, and Mg Storage in Amorphous and Crystalline Silicon
cond-mat.mtrl-sci · 2014 · author #1
Mentions
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1510.01813
#1 · backfill · confidence 0.70
Fleur Legrain
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1502.00833
#1 · backfill · confidence 0.70
Fleur Legrain
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1412.7795
#1 · backfill · confidence 0.70
Fleur Legrain
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1407.0545
#1 · backfill · confidence 0.70
Fleur Legrain
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1401.7795
#1 · backfill · confidence 0.70
Fleur Legrain