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

Conspectus The ongoing revolution of the natural sciences by the advent of machine
learning and artificial intelligence sparked significant interest in the material science …

Redox-flow batteries, based on their particular ability to decouple power and energy, stand
as prime candidates for cost-effective stationary storage, particularly in the case of long …

Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Standfirst Over the last decade, we have witnessed the emergence of ever more machine
learning applications in all aspects of the chemical sciences. Here, we highlight specific …

Aqueous organic redox flow batteries (RFBs) could enable widespread integration of
renewable energy, but only if costs are sufficiently low. Because the levelized cost of storage …

Quinones, which are ubiquitous in nature, can act as sustainable and green electrode
materials but face dissolution in organic electrolytes, resulting in fast fading of capacity and …

The discovery and development of novel materials in the field of energy are essential to
accelerate the transition to a low-carbon economy. Bringing recent technological …

In this perspective article, we review some of the most recent advances in the emerging field
of organic materials as the electroactive component in solid electrodes for batteries. These …

Redox flow batteries (RFBs) are critical enablers for next‐generation grid‐scale energy‐
storage systems, due to their scalability and flexibility in decoupling power and energy …