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fix copy-paste error of trained_by section in gnome.yml
rename figs/roc-models(-all-in-one -> '').svelte
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-18
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.pre-commit-config.yaml

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@@ -56,7 +56,7 @@ repos:
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exclude: ^(site/src/figs/.+\.svelte|data/wbm/20.+\..+|site/src/(routes|figs).+\.(yaml|json)|changelog.md)$
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- repo: https://github.com/pre-commit/mirrors-eslint
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rev: v9.0.0-alpha.2
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rev: v9.0.0-beta.0
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hooks:
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- id: eslint
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types: [file]

models/gnome/gnome.yml

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@@ -20,15 +20,6 @@ authors:
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affiliation: Google DeepMind
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orcid: https://orcid.org/0000-0003-0524-2837
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trained_by:
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- name: Philipp Benner
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affiliation: German Federal Institute of Materials Research and Testing (BAM)
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orcid: 0000-0002-0912-8137
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github: https://github.com/pbenner
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- name: Yuan Chiang
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affiliation: Lawrence Berkeley National Laboratory
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orcid: 0000-0002-4017-7084
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github: https://github.com/chiang-yuan
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repo: https://github.com/google-deepmind/materials_discovery
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doi: https://doi.org/10.1038/s41586-023-06735-9
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paper: https://nature.com/articles/s41586-023-06735-9
@@ -65,4 +56,4 @@ hyperparams:
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notes:
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description: |
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GNoME is an equivariant Nequip-type graph neural network implemented in e3nn-jax.
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training: Using pre-trained model released with paper. Training set unspecified at time of writing.
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training: Using pre-trained model released with "Scaling deep learning for materials discovery" paper. Training set unpublished as of 2024-02-03. The model was trained 1.5 years prior to submission to Matbench Discovery according to private communication.

scripts/model_figs/roc_prc_curves_models.py

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fig.layout.margin.update(l=0, r=0, b=0, t=20, pad=0)
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fig.update_yaxes(matches=None)
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fig.show()
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img_name = f"roc-models-{f'{n_rows}x{n_cols}' if facet_plot else 'all-in-one'}"
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img_name = f"roc-models{f'-{n_rows}x{n_cols}' if facet_plot else ''}"
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# %%
File renamed without changes.

site/src/routes/preprint/+layout.svelte

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{#each cite.authors as auth, idx}
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{#if idx > 0},
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{/if}
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<a href={auth.github ?? auth.orcid}>{auth[`given-names`]} {auth[`family-names`]}</a
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<a href={auth.github ?? `https://orcid.org/${auth.orcid}`}>
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{auth[`given-names`]} {auth[`family-names`]}</a
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><sup>{`${auth.affil_key}`.replaceAll(` `, ``)}</sup>
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{/each}
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</span>

site/src/routes/preprint/+page.md

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import MetricsTable from '$figs/metrics-table.svelte'
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import MetricsTableFirst10k from '$figs/metrics-table-first-10k.svelte'
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import MetricsTableMegnetUipCombos from '$figs/metrics-table-uip-megnet-combos.svelte'
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import RocModels from '$figs/roc-models-all-in-one.svelte'
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import RocModels from '$figs/roc-models.svelte'
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import RollingMaeVsHullDistModels from '$figs/rolling-mae-vs-hull-dist-models.svelte'
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import RunTimeBars from '$figs/model-run-times-bar.svelte'
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import SpacegroupSunburstWbm from '$figs/spacegroup-sunburst-wbm.svelte'

site/src/routes/preprint/references.yaml

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- id: glawe_optimal_2016
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accessed:
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- year: 2023
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month: 7
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day: 23
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- year: 2022
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month: 2
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day: 9
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author:
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- family: Glawe
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given: Henning
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The optimal one dimensional periodic table: a modified Pettifor chemical
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scale from data mining
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title-short: The optimal one dimensional periodic table
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URL: https://dx.doi.org/10.1088/1367-2630/18/9/093011
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URL: https://doi.org/10.1088/1367-2630/18/9/093011
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volume: '18'
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- id: goodall_predicting_2020

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