Home ›
Entities
› academia
› Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing
Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing
Research article (Journal of Industrial Information Integration, 2024) · cited 65× · AI/ML
Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing
Summary
Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing is a scholarly article[1].
Key Facts
Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing'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). Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing. Retrieved May 24, 2026, from https://4ort.xyz/entity/online-distortion-simulation-using-generative-machine-learning-models-a-step-toward-digital-twin-of-metallic-additive-ma
MLA“Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/online-distortion-simulation-using-generative-machine-learning-models-a-step-toward-digital-twin-of-metallic-additive-ma.
BibTeX@misc{4ortxyz_online-distortion-simulation-using-generative-machine-learning-models-a-step-toward-digital-twin-of-metallic-additive-ma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing}}, year = {2026}, url = {https://4ort.xyz/entity/online-distortion-simulation-using-generative-machine-learning-models-a-step-toward-digital-twin-of-metallic-additive-ma}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing — https://4ort.xyz/entity/online-distortion-simulation-using-generative-machine-learning-models-a-step-toward-digital-twin-of-metallic-additive-ma (retrieved 2026-05-24)
