Home › Entities › academia › AtomSets as a hierarchical transfer learning framework for small and large materials datasets

AtomSets as a hierarchical transfer learning framework for small and large materials datasets

Research article (npj Computational Materials, 2021) · cited 72× · AI/ML
academia openalex:W3210142335
Press Enter · cited answer in seconds

AtomSets as a hierarchical transfer learning framework for small and large materials datasets

Summary

AtomSets as a hierarchical transfer learning framework for small and large materials datasets is a scholarly article[1].

Key Facts

  • AtomSets as a hierarchical transfer learning framework for small and large materials datasets's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). AtomSets as a hierarchical transfer learning framework for small and large materials datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets
MLA “AtomSets as a hierarchical transfer learning framework for small and large materials datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets.
BibTeX @misc{4ortxyz_atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AtomSets as a hierarchical transfer learning framework for small and large materials datasets}}, year = {2026}, url = {https://4ort.xyz/entity/atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AtomSets as a hierarchical transfer learning framework for small and large materials datasets — https://4ort.xyz/entity/atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/atomsets-as-a-hierarchical-transfer-learning-framework-for-small-and-large-materials-datasets · Last refreshed: