The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

Single-atom catalytic sites may have existed in all supported transition metal catalysts since
their first application. Yet, interest in the design of single-atom heterogeneous catalysts …

Polymers are incredibly versatile materials and have become ubiquitous. Increasingly,
researchers are using data science and polymer informatics to design new materials and …

Zero-carbon energy and negative emission technologies are crucial for achieving a carbon
neutral future, and nanomaterials have played critical roles in advancing such technologies …

Optimizing synthesis parameters is crucial in fabricating an ideal cathode material; however,
the design space is too vast to be fully explored using an Edisonian approach. Here, by …

Despite its potential to transform society, materials research suffers from a major drawback:
its long research timeline. Recently, machine-learning techniques have emerged as a viable …

The potential for lithium-ion solid-state battery (SSB) is of interest due to its high energy
density, superior mechanical and thermal stability, and inherent safety. Currently, the …

Injection molding is a polymer-processing method widely used, which consumes about one-
third of global plastics and produces 80% of plastic parts. However, it is still challenging to in …

Research on the removal of heavy metals (HMs) from contaminated waters, aiming at
ensuring the safety of water bodies, has shifted from direct experimental tests to machine …