Active learning—the field of machine learning (ML) dedicated to optimal experiment design—has
played a part in science as far back as the 18th century when Laplace used it to guide …

Reversibility of structural phase transformations has profound technological implications in a
wide range of applications from fatigue life in shape-memory alloys (SMAs) to magnetism in …

Rational materials design based on prior knowledge is attractive because it promises to
avoid time-consuming synthesis and testing of numerous materials candidates. However with …

Vapor compression (VC) is by far the most dominant technology for meeting all cooling and
refrigeration needs around the world. It is a mature technology with the efficiency of modern …

Throughout history, scientists and engineers have relied on the slow and serendipitous trial-and-error
process for discovering and developing new materials. In contrast, an emerging …

Over the past several years, important strides have been made in demonstrating protonic
ceramic fuel cells (PCFCs). Such fuel cells offer the potential of environmentally sustainable …

The discovery of a universal behavior in rare‐earth (RE)‐substituted perovskite BiFeO 3 is
reported. The structural transition from the ferroelectric rhombohedral phase to an …

A quaternary combinatorial masking strategy was used in conjunction with photolithography
to generate compositionally diverse thin-film phosphor libraries containing 1024 different …

In regression, the desired estimate of y| x is not always given by a conditional mean, although
this is most common. Sometimes one wants to obtain a good estimate that satisfies the …

Acute coronary syndromes (ACS) are a comprehensive disease concept characterized by
acute myocardial ischemia caused by disruption of coronary artery plaque and consequent …