Insight generation from electrochemical experiments augmented by data science requires
broad, systematic, and well-defined parameter variations which build upon automation, data …

This roadmap presents the transformational research ideas proposed by “BATTERY 2030+,”
the European large‐scale research initiative for future battery chemistries. A “chemistry …

Batteries are central to modern society. They are no longer just a convenience but a critical
enabler of the transition to a resilient, low-carbon economy. Battery development capabilities …

The Open Databases Integration for Materials Design (OPTIMADE) application
programming interface (API) empowers users with holistic access to a growing federation of …

As the world rushes to expedient the growing demands for energy utilization and storage
solutions, Lithium-ion batteries (LIBs) are dominating in almost every sector of the battery …

The efficient utilization of resources in accelerated materials science necessitates flexible,
reconfigurable software-defined research workflows. We demonstrate a brokering approach …

To date, battery research largely follows an “Edisonian” approach based on experimental
trial-and-error in contrast to a systematic strategy of design-of-experiments. Battery …

Manual cell assembly confounds with research digitalization and reproducibility. Both are
however needed for data-driven optimization of cell chemistries and charging protocols …

Non‐trivial relationships link individual materials properties to device‐level performance.
Device optimization therefore calls for new automation approaches beyond the laboratory …

We developed and implemented a multi‐target multi‐fidelity workflow to explore the
chemical space of antiperovskite materials with general formula X3BA (X= Li, Na, Mg) and …