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). A novel physics-regularized interpretable machine learning model for grain growth. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-physics-regularized-interpretable-machine-learning-model-for-grain-growth
MLA“A novel physics-regularized interpretable machine learning model for grain growth.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-physics-regularized-interpretable-machine-learning-model-for-grain-growth.
BibTeX@misc{4ortxyz_a-novel-physics-regularized-interpretable-machine-learning-model-for-grain-growth_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel physics-regularized interpretable machine learning model for grain growth}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-physics-regularized-interpretable-machine-learning-model-for-grain-growth}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel physics-regularized interpretable machine learning model for grain growth — https://4ort.xyz/entity/a-novel-physics-regularized-interpretable-machine-learning-model-for-grain-growth (retrieved 2026-05-24)
