Electrolytes and the associated interphases constitute the critical components to support the
emerging battery chemistries that promise tantalizing energy but involve drastic phase and …

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

Aircraft, and the aviation ecosystem in which they operate, are shaped by complex trades
among technical requirements, economics and environmental concerns, all built on a …

Electrolytes have recently regained significant attention in rechargeable batteries due to the
discovery that the electrolyte microstructures play a determinant role in battery performance …

One possible solution against the accumulation of petrochemical plastics in natural
environments is to develop biodegradable plastic substitutes using natural components …

The main components and, most notably, the concentration of the non-aqueous electrolyte
solution have not significantly changed since the commercialization of Li-ion batteries in the …

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 …

Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Over the past few years, the adoption of machine learning (ML) techniques has rapidly
expanded across many fields of research including formulation science. At the same time …

Useful materials must satisfy multiple objectives, where the optimization of one objective is
often at the expense of another. The Pareto front reports the optimal trade-offs between …