Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials

Research article (Journal of Materials Research and Technology, 2023) · cited 32× · AI/ML
Press Enter · cited answer in seconds

Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials

Summary

Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials is a scholarly article[1].

Key Facts

  • Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials's instance of is recorded as scholarly article[2].

📑 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). Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3
MLA “Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3.
BibTeX @misc{4ortxyz_integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials — https://4ort.xyz/entity/integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3 (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/integrating-experiments-finite-element-analysis-and-interpretable-machine-learning-to-evaluate-the-auxetic-response-of-3 · Last refreshed: