… of modelling and optimization processes, through the errors-driven update, the support …
The formulated climate-adaptive designs, intelligent operations, uncertainty-based analysis …

… a supply chain, it is not the only one subject to uncertainty and risks, as we will study in this
paper. … of SCNs in a globalized world causes higher uncertainty [66]. Moreover, globalization …

… adaptation and implementation of large scale data-driven approaches in material discovery
and design … used Gaussian process regression to calibrate for systematic errors in DFT. (16) …

… theory of strategy under uncertainty. First, we argue that strategy making under uncertainty
cannot … Nevertheless, successful adaptive strategies may require specialized capabilities for …

… of using BO in materials design, such as the optimization of the synthesis process of short
polymer fibers 18 , adaptive … Because there are certain uncertainties associated with the …

… conditions of uncertainty. We propose that analogising and mental simulation are strategies
deployed to resolve uncertainty - a claim that is supported by the fact that uncertainty levels …

… (SC) on an unprecedented scale testing viability and adaptation under severe uncertainty.
However, the literature on the adaptation strategies and quantification of their impacts is still …

… corresponding uncertainties of a rich material space. This adaptive learning strategy gradually
… promising samples, albeit with large uncertainties. After iteratively validating/refining the …

… strategy can also enable a larger reduction in casualties. These findings imply that managing
flood risk is more than the use of single adaptation … adaptation strategy in an uncertain …

… whether intolerance of uncertainty and coping responses … However, it is worth noting that
adaptive strategies were not … some adaptive strategies (eg, acceptance) and increased use …