Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
Summary
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions is a scholarly article[1].
Key Facts
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions. Retrieved May 24, 2026, from https://4ort.xyz/entity/discovering-interpretable-elastoplasticity-models-via-the-neural-polynomial-method-enabled-symbolic-regressions
MLA“Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discovering-interpretable-elastoplasticity-models-via-the-neural-polynomial-method-enabled-symbolic-regressions.
BibTeX@misc{4ortxyz_discovering-interpretable-elastoplasticity-models-via-the-neural-polynomial-method-enabled-symbolic-regressions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions}}, year = {2026}, url = {https://4ort.xyz/entity/discovering-interpretable-elastoplasticity-models-via-the-neural-polynomial-method-enabled-symbolic-regressions}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions — https://4ort.xyz/entity/discovering-interpretable-elastoplasticity-models-via-the-neural-polynomial-method-enabled-symbolic-regressions (retrieved 2026-05-24)
