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Workshop discussions 2024 #520

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ml-evs opened this issue Jun 10, 2024 · 5 comments
Open

Workshop discussions 2024 #520

ml-evs opened this issue Jun 10, 2024 · 5 comments

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@ml-evs
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ml-evs commented Jun 10, 2024

Here are the discussion topics suggested for this year's workshop. We will cycle through them throughout the week:

  • Trajectories
  • Collections + providing data for training ML potentials
  • Properties
    • cheminformatics (SMILES), defects, materials discovery, magnetic, spectra, ...
  • OPTIMADE jsonl
  • workflows
  • OPTIMADE python tools
  • Future of OPTIMADE
@ml-evs ml-evs changed the title Workshop plan 2024 Workshop discussions 2024 Jun 10, 2024
@gjc29
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gjc29 commented Jun 12, 2024

DISCUSSION OF NON-EQUILIBRIUM AND MAGNETIC PROPERTIES ON TUESDAY

Non-equilibrium structures i.e. atomic potentials (a few equilibrium) (Eric)
Energy (and if it is a difference could be defined wrt a reference value stored as a database ID)
Forces (on each atom, same order as list of atoms, questions: which force for which atom, same order, what if primitive vs simulation cell)
Stress tensor (could be full 3x3 or Voigt notation), (virial (normalized by volume or not?))
Need parameters on how collected: e.g. DFT parameters
Could also do: local energy, local electronic density, local orbitals overlap

Recommendation: Make a group of interested participants, and github repository, link to trajectories, stability

Discussion: Rickard: could store in trajectory endpoint (with just a single entry)

To do: sub-sub group to consult trajectory working group whether a “trajectory” should be a “collection” of uncorrelated snapshots?

Define a collection as a set of trajectories all used in training a given machine learning potentials
One of those trajectories is a set of structures (could be time evolved, nested sampling)
Trajectory name is confusing (time evolution) (and delta between steps)→ ensemble ?

Further discussion: trajectory now favored data structure, but its defnition need to be clear that can be unordered.

Magnets: (Oskar)

Properties per atom:
Jij magnetic exchage
Zeeman contribution, Heisenberg contribution
H per atom
Properties per crystal
Total energy (B^2/2mu)
Curie temperature
Magnetic susceptibility / permeability (tensor)
Magnetic coercivity
Ferromagentic, magentic field, magnetic polarization
Magnetic anisotropy constant
Superconductor (Meisner effect)
Micromagnetic (large length scales e.g. vortices, domains)
Piezomagnetism

DFT, was spin orbit coupling turned on?

Recommendation: Make a group of interested participants, and github repository

@gjc29
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gjc29 commented Jun 12, 2024

DISCUSSION OF NON-EQUILIBRIUM AND MAGNETIC PROPERTIES ON WEDNESDAY

Create /properties endpoint that contains

cheminfo
stability
electronic
magnetic
thermo
phonon
transport
optical
defect
mechanical
superconductivity
radiological
chemical
acoustic

may need aliases from e.g. optical band gap to electronic band gap

then discuss electronic that could contain
band_gap [scalar: units eV]
dos [list of 2D points: units 1/eV]
dos_fermi [list of 2D points: units 1/eV]

@gjc29
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gjc29 commented Jun 13, 2024

Following further discussion it was agreed that snapshots used for training ML potentials should be stored within a trajectory if they have the same composition, and collection for changing composition. The trajectories working group should include a statement about how trajectories do not have to be indexed by time-step, but could be any arbitrary index (e.g. random number seed or nested sampling progression), and properties working group should formulate a paragraph with best use cases.

@merkys
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merkys commented Jun 14, 2024

@gjc29 and I have shortlisted the following ("least controversial") properties from MPDS property list for inclusion into OPTIMADE:

No category:

LPFcode_1 LPFcode_2 LPF_sortkey Symbol SI unit Subtitle Datasheet Property
P0D N0 1 D Mg m‰… density density density

Electronic and electrical properties:

LPFcode_1 LPFcode_2 LPF_sortkey Symbol SI unit Subtitle Datasheet Property
P5B N1B 1 E¿ eV energy band structure energy at Fermi level energy at Fermi level
P5C N1C 1 N(E¿) eV‰ƒ electron density of states electron density of states at Fermi level electron density of states at Fermi level
P5D N1D 1 eV energy gap energy gap energy gap
P5T N1M 1 mÏ* effective mass effective mass of electrons effective mass of electrons in conduction band

Optical properties:

LPFcode_1 LPFcode_2 LPF_sortkey Symbol SI unit Subtitle Datasheet Property
P6O N4J 81 WF eV work function work function work function

@gjc29
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gjc29 commented Jun 14, 2024

discussion of properties led to that we should only include density (3D), electron density of states at Fermi level, and work function, and that these should be in name spaces(s) and not the core. If they cannot be defined/calculated they should be left null

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