•Physics-informed machine learning enables accelerated search of stable perovskites•Closed-loop Bayesian optimization takes the human out decision-making loop•>17-fold higher stability achieved within a combinatorial space CsxMAyFA1?x?yPbI3•Improved perovskite thin-film translates into enhanced solar cell reliability Despite recent intensive efforts to improve environmental halide materials for...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Printer-friendly Version Interactive Discussion EGU Abstract We present a method to describe the relationship between dry particle diameter and cloud condensation nuclei (CCN) activity using a single hygroscopicity parameter. Va...

We present a method to describe the relationship between particle dry diameter and cloud condensation nuclei (CCN) activity using a single hygroscopicity parameter κ . Values of the hygroscopicity parameter are between 0.5 and 1.4 for highly-CCN-active salts such as sodium chloride, between 0.01 and 0.5 for slightly to very hygroscopic organic species, and 0 for nonhygroscopic components. Obser...

Background: Proteins of various compositions are required by organisms inhabiting different environments. The energetic demands for protein formation are a function of the compositions of proteins as well as geochemical variables including temperature, pressure, oxygen fugacity and pH. The purpose of this study was to explore the dependence of metastable equilibrium states of protein systems on...

Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Being able to perform statistical analysis on these probabilistic multi-shape representations is important in understanding normal and pathological geometrical variability of anatomical structures. By making use of methods for dealing with what is known as composit...