Expert insights written by and for battery professionals.
SLAC scientist Erick Espinosa Villatoro explains why understanding degradation mechanisms remains one of the biggest technical hurdles to commercialization.
Integrating modeling and simulation into design workflows for batteries can help engineers better understand battery behavior, predict performance more accurately, and virtually test and optimize
The global push for electrification—from the smartphone in your pocket to grid-scale energy storage—has made battery safety and reliability vitally important. But what happens when
What tools do battery engineers need in order to balance battery performance and safety? To stay ahead of these new regulations and ensure battery thermal
Battery energy storage growth brings end-of-life risks. Learn who is responsible, key U.S. regulations, and why early planning is critical for compliance. Read more in
Explore trends in energy storage investment — from declining EV battery funding to new opportunities in stationary storage, defense, AI data centers, and scalable battery
High resolution raw data, unique cycle metrics – UHPC has valuable applications in development, quality, and machine learning lifetime prediction.
In battery research and development, one critical challenge is characterizing where lithium ends up and how it behaves. Laser Ablation Laser Ionization with Time-of-Flight Mass
Metallurgical-grade silicon (MG-Si) is emerging as a game-changing alternative to graphite in lithium-ion batteries, offering 10x the energy capacity at a fraction of the cost.
As the demand for high-performance batteries accelerates, so does the pace of innovation from researchers and engineers. The ability to analyze battery materials across multiple
This article is contributed by Kyle Veugeler, Siemens and Bjoern Stoll, Digatron. In the evolving landscape of battery manufacturing, increasing demand for high-performance batteries requires
The global battery manufacturing industry is in the midst of an evolution driven by advanced automation, AI and the rapid rise in EV and energy