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.
APA4ort.xyz Knowledge Graph. (2026). EGraFFBench: evaluation of equivariant graph neural network force fields for atomistic simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/egraffbench-evaluation-of-equivariant-graph-neural-network-force-fields-for-atomistic-simulations
MLA“EGraFFBench: evaluation of equivariant graph neural network force fields for atomistic simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/egraffbench-evaluation-of-equivariant-graph-neural-network-force-fields-for-atomistic-simulations.
BibTeX@misc{4ortxyz_egraffbench-evaluation-of-equivariant-graph-neural-network-force-fields-for-atomistic-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EGraFFBench: evaluation of equivariant graph neural network force fields for atomistic simulations}}, year = {2026}, url = {https://4ort.xyz/entity/egraffbench-evaluation-of-equivariant-graph-neural-network-force-fields-for-atomistic-simulations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EGraFFBench: evaluation of equivariant graph neural network force fields for atomistic simulations — https://4ort.xyz/entity/egraffbench-evaluation-of-equivariant-graph-neural-network-force-fields-for-atomistic-simulations (retrieved 2026-05-24)