Artificial intelligence (AI) systems are trained to solve complex problems and learn to
perform specific tasks by using large volumes of data, such as prediction, classification …

Polymer dielectric materials with excellent temperature stability are urgently needed for the
ever-increasing energy storage requirements under harsh high-temperature conditions. In …

Hall-Petch slope (k) is an important material parameter, while there is a great challenge to
accurately predict the k value of magnesium alloys due to a high dependence of k on the …

Data-centric artificial intelligence (AI)(DCAI) has the potential to bring significant benefits to
society; however, it also poses significant challenges and potential risks. It is crucial to …

Continuous glucose monitors (CGMs) are prone to faults termed pressure-induced sensor
attenuations (PISAs), particularly when the user rolls over on the sensor during sleep. PISAs …

The growing number of studies and interest in two‐dimensional (2D) materials has not yet
resulted in a wide range of material applications. This is a result of difficulties in getting the …

Bulk heterojunction solar cell (BHJ) materials represent a promising avenue for enhancing
environmental stability and practicality in solar cell technology. However, the vast array of …

While machine learning (ML) use has become prevalent across most domains, there is a
growing gap between programmers and non-programmers in their use of ML. Indeed …