I properties of free atoms, symmetry, Input: definition of material - - PowerPoint PPT Presentation

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I properties of free atoms, symmetry, Input: definition of material - - PowerPoint PPT Presentation

Level Properties Methods Size Atomic positions and nuclear charges, 10 kB I properties of free atoms, symmetry, Input: definition of material - temperature, pressure 1 MB Total energy, electron density, potential, Density-functional


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Level Properties Methods Size

I

Atomic positions and nuclear charges, properties of free atoms, symmetry, temperature, pressure Input: definition of material 10 kB

  • 1 MB

II

Total energy, electron density, potential, wavefunctions, atomic forces, optimized geometry, elastic constants, etc. Density-functional theory (DFT) and ab initio molecular dynamics (MD) 10 MB

  • 10 TB

III

Excitation energies, dielectric screening, matrix elements of Coulomb interaction, etc.

  • ptical spectra, electrical conductivity,

phonon spectra, thermal conductivity, etc. Many-body perturbation theory (MBPT), DF perturbation theory, ab initio MD 1 GB

  • 1 TB

IV

Efficiency of solar cell, thermoelectric figure of merit, turn-over frequency of catalyst, etc. as a function of temperature and pressure Modeling, output derived from levels I-III 10 kB

  • 1 MB
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S Seebeck coefficient s electronic conductivity k thermal conductivity

π‘Ž = 𝜏 𝑇& πœ†()

* + πœ†,-

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Level Properties Methods Size

I

Atomic positions and nuclear charges, properties of free atoms, symmetry, temperature, pressure Input: definition of material gene 10 kB

  • 1 MB

II

Total energy, electron density, potential, wavefunctions, atomic forces, optimized geometry, elastic constants, etc. Density-functional theory (DFT) and ab initio molecular dynamics (MD) 10 MB

  • 10 TB

III

Excitation energies, dielectric screening, matrix elements of Coulomb interaction, etc.

  • ptical spectra, electrical conductivity,

phonon spectra, thermal conductivity, etc. Many-body perturbation theory (MBPT), DF perturbation theory, ab initio MD 1 GB

  • 1 TB

IV

Efficiency of solar cell, thermoelectric figure of merit, turn-over frequency of catalyst, etc. as a function of temperature and pressure Modeling, output derived from levels I-III phenotype 10 kB

  • 1 MB
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3 309 778

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The NoMaD Repository is a joint effort by the groups of Matthias Scheffler, FHI Berlin and Claudia Draxl, HU Berlin, and the Computer Center of the Max-Planck Society.

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LRZ Munich Alessandro De Vita Kings College London Claudia Draxl HU Berlin Daan Frenkel

  • Univ. Cambridge

MPSCD Garching Francesc Illas

  • Univ. Barcelona

CSC Helsinki BSC Barcelona Risto Nieminen Aalto Univ. Helsinki Ciaran Clissman Pintail Dublin Matthias Scheffler FHI Berlin Kristian Thygesen DTU Lyngby Angel Rubio MPSD Hamburg

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Existing resources Code-dependent data

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Sven Lubeck Andris Gulans

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  • K. Lejaeghere et al.,

Science 351, aad3000 (2016).

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https://molmod.ugent.be/deltacodesdft

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https://molmod.ugent.be/deltacodesdft

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  • K. Lejaeghere et al.,

Science 351, aad3000 (2016).

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Slide from S. Cottenier

  • K. Lejaeghere et al., Science 351, aad3000 (2016).
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Statistics

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme, grant agreement No 676580.