PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta
Liang L, Liu M, Elefteriades J, Sun W. PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta. Computer Methods And Programs In Biomedicine 2023, 238: 107616. PMID: 37230048, PMCID: PMC10330852, DOI: 10.1016/j.cmpb.2023.107616.Peer-Reviewed Original ResearchConceptsDeep neural networksFinite element analysisFEA codeImproved loss functionInverse methodFinite element analysis methodInverse problemCommercial FEA software packageElement analysis methodFEA software packageCommercial FEA packageNew libraryNeural networkPerformance issuesFEA packageNew inverse methodBiomechanical analysisComputational timeFEA methodLoss functionSolid mechanicsDeformation analysisSoftware packageInverse analysisSeries of applications