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). Deep neural network approach to estimate biaxial stress-strain curves of sheet metals. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-approach-to-estimate-biaxial-stress-strain-curves-of-sheet-metals
MLA“Deep neural network approach to estimate biaxial stress-strain curves of sheet metals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-approach-to-estimate-biaxial-stress-strain-curves-of-sheet-metals.
BibTeX@misc{4ortxyz_deep-neural-network-approach-to-estimate-biaxial-stress-strain-curves-of-sheet-metals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural network approach to estimate biaxial stress-strain curves of sheet metals}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-approach-to-estimate-biaxial-stress-strain-curves-of-sheet-metals}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural network approach to estimate biaxial stress-strain curves of sheet metals — https://4ort.xyz/entity/deep-neural-network-approach-to-estimate-biaxial-stress-strain-curves-of-sheet-metals (retrieved 2026-05-24)