Home ›
Entities
› academia
› Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization
Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization
Research article (Composite Structures, 2025) · cited 19× · AI/ML
Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization
Summary
Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization is a scholarly article[1].
Key Facts
Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-optimization-of-3d-printed-kirigami-inspired-composite-metamaterials-for-quasi-zero-stiffness-using-deep-reinforc
MLA“Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-optimization-of-3d-printed-kirigami-inspired-composite-metamaterials-for-quasi-zero-stiffness-using-deep-reinforc.
BibTeX@misc{4ortxyz_design-optimization-of-3d-printed-kirigami-inspired-composite-metamaterials-for-quasi-zero-stiffness-using-deep-reinforc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization}}, year = {2026}, url = {https://4ort.xyz/entity/design-optimization-of-3d-printed-kirigami-inspired-composite-metamaterials-for-quasi-zero-stiffness-using-deep-reinforc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization — https://4ort.xyz/entity/design-optimization-of-3d-printed-kirigami-inspired-composite-metamaterials-for-quasi-zero-stiffness-using-deep-reinforc (retrieved 2026-05-24)