SchNet: a deep learning architecture for molecules and materials
Creator not supplied; see original source.
arXiv paper (2017) "SchNet - a deep learning architecture for molecules and materials", using continuous-filter convolutions to predict molecular energies and forces.
- Level
- Advanced–Expert
- Models
- Category
- Frontier
- Tags
- materials-chemistry, science-medicine
- Source date
- date not stated
- Added
- 2026-10-18
- Last verified
- 2026-10-18
- Status
- ok
- Prerequisites
- inferred: research paper default
- Subcategory
- research feeds
- Region
- unknown
- Original language
- en
- Access
- free
- Resource reuse
- unknown: Not supplied; no reuse grant asserted. Facet definitions
- Verification basis
- Supplier-reported live check; no independent HTTP verification by this site.
- Access evidence
- Supplier-approved free inventory; not independently verified by this site.
- Source domain
- Science & medicine
- Source subdomain
- materials & chemistry
- Supplier region label
- Global (TU Berlin/Max Planck;
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