An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

Enhancing Battery Lifetime Predictions with Transfer Learning. This figure illustrates the workflow of transfer learning approaches, including Bayesian Model Fusion (BMF) and Weighted Orthogonal ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Alsym Energy, a pioneer in non-flammable, high-performance sodium-ion batteries, today announced details of the proprietary physics-informed AI platform used to develop the company’s recently launched ...

Members can download this article in PDF format. Portable and mobile products require sophisticated battery-management circuitry to extend battery life and avoid unexpected shutdowns. A key ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Visit the Battery Learning Center for engineering-first guidance to design the right backup system for your PNW home—no sales pitch. Engineer-led hub explains whole-home and partial backup, generator ...