Home ›
Entities
› academia
› SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation
Research article (Journal of Applied Mechanics, 2021) · cited 19× · AI/ML
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation
Summary
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation is a scholarly article[1].
Key Facts
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation'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). SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/supermeshing-a-new-deep-learning-architecture-for-increasing-the-mesh-density-of-physical-fields-in-metal-forming-numeri
MLA“SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/supermeshing-a-new-deep-learning-architecture-for-increasing-the-mesh-density-of-physical-fields-in-metal-forming-numeri.
BibTeX@misc{4ortxyz_supermeshing-a-new-deep-learning-architecture-for-increasing-the-mesh-density-of-physical-fields-in-metal-forming-numeri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation}}, year = {2026}, url = {https://4ort.xyz/entity/supermeshing-a-new-deep-learning-architecture-for-increasing-the-mesh-density-of-physical-fields-in-metal-forming-numeri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation — https://4ort.xyz/entity/supermeshing-a-new-deep-learning-architecture-for-increasing-the-mesh-density-of-physical-fields-in-metal-forming-numeri (retrieved 2026-05-24)
