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). ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. Retrieved May 24, 2026, from https://4ort.xyz/entity/net-pytorch-a-gpu-supported-implementation-for-machine-learning-atomic-potentials-training
MLA“ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/net-pytorch-a-gpu-supported-implementation-for-machine-learning-atomic-potentials-training.
BibTeX@misc{4ortxyz_net-pytorch-a-gpu-supported-implementation-for-machine-learning-atomic-potentials-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training}}, year = {2026}, url = {https://4ort.xyz/entity/net-pytorch-a-gpu-supported-implementation-for-machine-learning-atomic-potentials-training}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training — https://4ort.xyz/entity/net-pytorch-a-gpu-supported-implementation-for-machine-learning-atomic-potentials-training (retrieved 2026-05-24)
