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e3nn composable Euclidean-equivariant neural-network software

Provides reusable parity-aware irreducible representations, spherical harmonics and trainable tensor-product primitives for assembling E(3)-equivariant networks.

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Provides reusable parity-aware irreducible representations, spherical harmonics and trainable tensor-product primitives for assembling E(3)-equivariant networks.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

2022 arXiv source retains a January 2021 draft date; source version not backdated to a finalized journal article. Geiger and Smidt are its two source authors, not the entire predecessor-author union. Framework generality depends on valid representations and equivariant composition; no automatic physical accuracy or claim to invent representation theory. Bio/medical applications omitted.

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People and systems

Mario Geiger; Tess Smidt

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

e3nn composable Euclidean-equivariant neural-network software

Provides reusable parity-aware irreducible representations, spherical harmonics and trainable tensor-product primitives for assembling E(3)-equivariant networks.

Scientific scope

2022 arXiv source retains a January 2021 draft date; source version not backdated to a finalized journal article. Geiger and Smidt are its two source authors, not the entire predecessor-author union. Framework generality depends on valid representations and equivariant composition; no automatic physical accuracy or claim to invent representation theory. Bio/medical applications omitted.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Mario Geiger; Tess Smidt

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources