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Discovering highly anisotropic dielectric crystals

Alex Ganose
December 06, 2024

Discovering highly anisotropic dielectric crystals

Fall MRS 2024

Alex Ganose

December 06, 2024
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  1. MRS Fall 2024 virtualatoms.org Dielectrics have wide technological applications Light

    emitting diodes Capacitors Liquid crystal displays Photovoltaics DRAM Micro-electronics
  2. MRS Fall 2024 virtualatoms.org Dielectric anisotropy enables novel function Birefringence

    LCDs, polarisers, medical imaging Emitters Polarised LEDs and lasers Emerging applications Direct dark matter detectors
  3. MRS Fall 2024 virtualatoms.org Scalar dielectric prediction competitive with SOTA

    Model Test MAE coGN 0.309 MegNet 0.339 DimeNet++ 0.340 matbench-dielectric We predict full tensor then average, other models predict average directly
  4. MRS Fall 2024 virtualatoms.org Anisotropy ratio skewed towards 1 Percentage

    error ~ 6% OK performance given ar is not directly trained
  5. MRS Fall 2024 virtualatoms.org Screening the Materials Project for high

    anisotropy 0D 1D 2D 3D 1 2 3 4 Predicted Anisotropy Ratio 0 2 4 6 8 Anisotropy Ratio 0 10 20 30 Percent Training data Anisotropy favoured in 1D and 2D crystals (obviously)
  6. MRS Fall 2024 virtualatoms.org The Materials Project registered users crystalline

    compounds molecular compounds band structures elastic tensors dielectric tensors 250k 150k 31k 52k 13k 7k
  7. MRS Fall 2024 virtualatoms.org MP website is tip of the

    iceberg Slide credit: Matthew Horton
  8. MRS Fall 2024 virtualatoms.org MP website is tip of the

    iceberg MP Software Stack Slide credit: Matthew Horton
  9. MRS Fall 2024 virtualatoms.org Goal is to make HT possible

    for everyone what is the PBE elastic tensor of GaAs? results researcher workflows ├─ band structure ├─ surface energies ├─ elastic tensor ├─ raman spectrum └─ free energy workflow engine
  10. MRS Fall 2024 virtualatoms.org Atomate2 makes this process easy run

    many different properties of many materials results database researcher
  11. MRS Fall 2024 virtualatoms.org │ ├─ point defects ├─ magnetic

    ordering ├─ electron-phonon coupling ├─ lobster analysis ├─ electron mobility ├─ ab initio molecular dynamics ├─ ferroelectric properties ├─ electrode properties ├─ surface absorption ├─ thermal expansion ├─ lattice thermal conductivity └─ ...and more │ single-point ─┤ geometry optimisation ─┤ band structure ─┤ density of states ─┤ spin-orbit coupling ─┤ hybrid functionals ─┤ SCAN functionals ─┤ elastic tensor ─┤ dielectric tensor ─┤ piezoelectric tensor ─┤ harmonic phonons ─┤ free energy ─┘ Workflow library atomate2
  12. MRS Fall 2024 virtualatoms.org structure, dir_name structure, dir_name dir_name, structure

    structure dir_name, structure stress, structure dir_name, structure dir_name, structure dir_name dir_name output output raw normalmode_frequencies, structure, 'born', normalmode_eigenvecs epsilon_ionic, epsilon_static epsilon_static 'frequency' 'ibands' 'dir_name' dir_name, structure dir_name output 'dir_name' output hse tight relax 1 hse tight relax 2 hse static dense uniform generate_elastic_deformations run_elastic_deformations fit_elastic_tensor dielectric bulk static deformation generate_wavefunction_coefficients amset calculate_polar_phonon_frequency sum calculate_deformation_potentials run_amset_deformations Workflows translate into a series of low-level tasks Example: electronic transport with VASP and AMSET
  13. MRS Fall 2024 virtualatoms.org Supported DFT packages Many workflows are

    “code agnostic” and support multiple DFT software packages + MLFFs e.g. mace-mp-0, ORB, eqV2, SevenNet…
  14. MRS Fall 2024 virtualatoms.org Atomate2 standardises knowledge All past and

    present knowledge, from many research groups, everyone previously in those groups, and their collaborators, about how to run calculations Slide credit: Anubhav Jain
  15. MRS Fall 2024 virtualatoms.org Try atomate2 today Installation pip install

    atomate2 Code github.com/ materialsproject/atomate2 Support matsci.org/atomate
  16. MRS Fall 2024 virtualatoms.org Our model successfully identifies highly anisotropic

    crystals Selected 137 materials with predicted ar greater than 2.5 Validated with density- functional perturbation theory through atomate2 0D 1D 2D 3D 1 2 3 4 Predicted Anisotropy Ratio
  17. MRS Fall 2024 virtualatoms.org Our model successfully identifies highly anisotropic

    crystals 0 2 4 6 8 Anisotropy Ratio 0 10 20 30 Percent Training data Selected 137 materials with predicted ar greater than 2.5 Validated with density- functional perturbation theory through atomate2
  18. MRS Fall 2024 virtualatoms.org Our model successfully identifies highly anisotropic

    crystals 0 2 4 6 8 Anisotropy Ratio 0 10 20 30 Percent Training data New discovery Selected 137 materials with predicted ar greater than 2.5 Validated with density- functional perturbation theory through atomate2
  19. MRS Fall 2024 virtualatoms.org Conclusions Equivariant models vital for accurate

    tensorial predictions on small datasets Atomate2 aims to make high-throughput easy by integrating with common DFT packages Standardising workflows accelerates your research and with potential for generative model validation
  20. MRS Fall 2024 virtualatoms.org Acknowledgements Anubhav Jain Andrew Rosen Janine

    George Janosh Riebesell Guido Petretto David Waroquiers Gian-Marco Rignanese Jimmy-Xuan Shen Nick Winner Aaron Kaplan Thomas Purcell Aakash Ashok Naik Christina Ertural Matt McDermott Matthew Evans Mingjian Wen Matthew Horton …and many more Atomate2 & jobflow contributors Dielectrics Leo Lou Funding EPSRC Compute ARCHER2 Imperial MMMHub
  21. MRS Fall 2024 virtualatoms.org Acknowledgements Anubhav Jain Andrew Rosen Janine

    George Janosh Riebesell Guido Petretto David Waroquiers Gian-Marco Rignanese Jimmy-Xuan Shen Nick Winner Aaron Kaplan Thomas Purcell Aakash Ashok Naik Christina Ertural Matt McDermott Matthew Evans Mingjian Wen Matthew Horton …and many more Atomate2 & jobflow contributors Dielectrics Leo Lou Funding EPSRC Compute ARCHER2 Imperial MMMHub And you for your attention!