Recent progress of uncertainty quantification in small-scale materials science

摘要: Abstract This work addresses a comprehensive review of the recent efforts for uncertainty quantification in small-scale materials science. Experimental and computational studies analyzing designing small length-scales, such as atomistic, molecular, meso levels, have emerged substantially over last decade. With advancement resources, has started to garner interest community. The effects uncertainties been found be critical numerous they lead significant deviations on expected material response alter component performance. In field science, typical resources are classified as: (i) inherent stochasticity (aleatoric uncertainty) associated with processing; (ii) modeling algorithmic variations (epistemic that arise from lack knowledge systems/models. present reviews categorize according various aspects: types uncertainties, problems, (iii) algorithms used study (iv) length-scales different applications. extensive discussion covers state-of-the-art promising future techniques applications, including integration quantification, design, optimization reliability methods, advanced manufacturing.