Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

The development of new batteries has historically been achieved through discovery and
development cycles based on the intuition of the researcher, followed by experimental trial …

This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

Graphite is an excellent negative electrode (anode) material for Li-ion batteries. It has high
specific capacity (eg,∼ 2.5× higher than LiCoO 2), high volumetric capacity (∼ the same as …

High-throughput density functional theory (HT DFT) is fast becoming a powerful tool for
accelerating materials design and discovery by the amassing tens and even hundreds of …

High-energy consumption in our day-to-day life can be balanced not only by harvesting
pollution-free renewable energy sources, but also requires proper storage and distribution of …

Lithium ion batteries (LIBs) possess energy densities higher than those of the conventional
batteries, but their lower power densities and poor cycling lives are critical challenges for …

There are growing concerns over the environmental, climate, and health impacts caused by
using non‐renewable fossil fuels. The utilization of green energy, including solar and wind …

The timely arrival of novel materials plays a key role in bringing advances to society, as the
pace at which major technological breakthroughs take place is usually dictated by the …

The Materials Genome Initiative, a national effort to introduce new materials into the market
faster and at lower cost, has made significant progress in computational simulation and …