Standard model outputs#
In order for multiple simulation engines to be able to exploit atomic properties computing by arbitrary metatensor atomistic models, we need all the models to return data with specific metadata. If your model returns one of the output defined in this documentation, then the model should follow the metadata structure described here.
For other kind of output, you are free to use any relevant metadata structure, but if multiple people are producing the same kind of outputs, they are encouraged to come together, define the metadata they need and add a new section to this page.
Energy#
Energy is associated with the "energy"
key in the model outputs, and must
have the following metadata:
Metadata |
Names |
Description |
---|---|---|
keys |
|
the energy keys must have a single dimension named |
samples |
|
if doing
|
components |
the energy must not have any components |
|
properties |
|
the energy must have a single property dimension named |
Energy gradients#
Most of the time when writing an atomistic model compatible with metatensor, gradients will be handled implicitly and computed by the simulation engine using a backward pass. Additionally, it is possible for the model to support explicit, forward mode gradients
The following gradients can be defined and requested with
explicit_gradients
:
“positions” (\(r_j\)) gradients will contain the negative of the forces \(F_j\).
\[\frac{\partial E}{\partial r_j} = -F_j\]
Metadata |
Names |
Description |
---|---|---|
samples |
|
|
components |
|
there must be a single component named |
“strain” (\(\epsilon\)) gradients will contain the stress \(\sigma\) acting on the system, multiplied by the volume \(V\) (sometimes also called the virial of this system)
\[\frac{\partial E}{\partial \epsilon} = V \sigma\]
Metadata |
Names |
Description |
---|---|---|
samples |
|
There is a single gradient sample dimension, |
components |
|
Both |