Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics (2025)
- Authors:
- Autor USP: AUSAS, ROBERTO FEDERICO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.engappai.2025.111788
- Subjects: EQUAÇÕES DIFERENCIAIS; REOLOGIA; VISCOELASTICIDADE DAS ESTRUTURAS; APRENDIZADO COMPUTACIONAL
- Keywords: Non-Newtonian fluids; Neural differential equation; Universal differential equation; Scientific machine learning; Differentiable physics
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Engineering Applications of Artificial Intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 160, p. 1-20, 2025
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
RODRIGUES, Elias C et al. Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics. Engineering Applications of Artificial Intelligence, v. 160, p. 1-20, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2025.111788. Acesso em: 15 abr. 2026. -
APA
Rodrigues, E. C., Thompson, R. L., Oliveira, D. A. B., & Ausas, R. F. (2025). Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics. Engineering Applications of Artificial Intelligence, 160, 1-20. doi:10.1016/j.engappai.2025.111788 -
NLM
Rodrigues EC, Thompson RL, Oliveira DAB, Ausas RF. Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics [Internet]. Engineering Applications of Artificial Intelligence. 2025 ; 160 1-20.[citado 2026 abr. 15 ] Available from: https://doi.org/10.1016/j.engappai.2025.111788 -
Vancouver
Rodrigues EC, Thompson RL, Oliveira DAB, Ausas RF. Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics [Internet]. Engineering Applications of Artificial Intelligence. 2025 ; 160 1-20.[citado 2026 abr. 15 ] Available from: https://doi.org/10.1016/j.engappai.2025.111788 - Drying of refractory castables - how complex the modelling needs to be?: a numerical and experimental study
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