A physics-informed neural network approach for predicting fatigue life of SLM 316L stainless steel based on defect features
Feng Feng, Tao Zhu, Bing Yang, Shuwei Zhou, Shoune Xiao
Topics & Concepts
InterpretabilityReliability (semiconductor)Artificial neural networkProcess (computing)EmbeddingFeature (linguistics)Reliability engineeringComputer scienceLimit (mathematics)Materials scienceArtificial intelligenceStructural engineeringMachine learningEngineeringMathematicsPower (physics)PhysicsMathematical analysisQuantum mechanicsOperating systemLinguisticsPhilosophyFatigue and fracture mechanicsNon-Destructive Testing TechniquesAdditive Manufacturing Materials and Processes