Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability by Dechent, P, Greenbank, S, Hildenbrand, F, Jbabdi, S, Sauer, DU, Howey, DA

One-shot battery degradation trajectory prediction with deep learning by Li, W, Sengupta, N, Dechent, P, Howey, D, Annaswamy, A, Sauer, DU

Online capacity estimation of lithium-ion batteries with deep long short-term memory networks by Li, W, Sengupta, N, Dechent, P, Howey, D, Annaswamy, A, Sauer, DU

Review—"Knees" in lithium-ion battery aging trajectories by Attia, PM, Bills, AA, Brosa Planella, F, Dechent, P, dos Reis, G, Dubarry, M, Gasper, P, Gilchrist, R, Greenbank, S, Howey, D, Liu, O, Khoo, E, Preger, Y, Soni, A, Sripad, S, Stefanopoulou, A, Sulzer, V

A minimal information set to enable verifiable theoretical battery research by Mistry, A, Verma, A, Sripad, S, Ciez, R, Sulzer, V, Brosa Planella, F, Timms, R, Zhang, Y, Kurchin, R, Dechent, P, Li, W, Greenbank, S, Ahmad, Z, Krishnamurthy, D, Fenton, AM, Tenny, K, Patel, P, Juarez Robles, D, Gasper, P, Colclasure, A, Baskin, A, Scown, CD, Subramanian, VR, Khoo, E, Allu, S, Howey, D, DeCaluwe, S, Roberts, SA, Viswanathan, V