NREL Advances in Battery Research with Physics-Based Machine Learning Accelerates Characterization of Cell Performance, Lifetime,…

Energy storage scientists at the National Renewable Energy Laboratory (NREL) are turning to cutting-edge machine-learning techniques to strengthen understanding of advanced battery materials, chemistries, and cell designs. These complex computer algorithms help accelerate the characterization of battery performance, lifetime, and safety by offering insights into potential patterns within datasets. Researchers can use … [continued]