A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys

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The potency of defects on fatigue of additively manufactured metals

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Machine learning framework for predicting the low cycle fatigue life of lead-free solders

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Machine learning-based modeling of the coupling effect of strain rate and temperature on strain hardening for 5182-O aluminum alloy

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Fatigue crack growth behavior of an additively manufactured titanium alloy: Effects of spatial and crystallographic orientations of α lamellae

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Predicting grain boundary damage by machine learning

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Machine learning for predicting fatigue properties of additively manufactured materials

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A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel

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Microstructural feature-driven machine learning for predicting mechanical tensile strength of laser powder bed fusion (L-PBF) additively manufactured Ti6Al4V alloy

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Estimation of surface roughness of direct metal laser sintered AlSi10Mg using artificial neural networks and response surface methodology

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Plastically heterogeneity-driven fracture in additive manufactured steels

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Correlating the evolution of spatial-resolved microscale residual stress and the associated dislocation behavior in additively manufactured 316L stainless steel upon short-term annealing

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Gaussian process autoregression models for the evolution of polycrystalline microstructures subjected to arbitrary stretching tensors

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Machine learning powered predictive modelling of complex residual stress for nuclear fusion reactor design

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