Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning

arXiv:2404.12899v1 Announce Type: cross
Abstract: Scientific advancement is universally based on the dynamic interplay between theoretical insights, modelling, and experimental discoveries. However, this feedback loop is often slow, including delayed community interactions and the gradual integration of experimental data into theoretical frameworks. This challenge is particularly exacerbated in domains dealing with high-dimensional object spaces, such as molecules and complex microstructures. Hence, the integration of theory within automated and autonomous experimental setups, or theory in the loop automated experiment, is emerging …

active learning arxiv bayesian cond-mat.mtrl-sci cs.lg designing digital digital twins dynamic materials navigation twins type via