Results 241 to 250 of about 91,982 (306)
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
User-driven potential for scalable, cost-effective, and flexible vehicle-to-grid resources in China. [PDF]
Han X +7 more
europepmc +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Impact of virtual threads and garbage collection on energy efficiency of Java applications for battery powered IoT devices. [PDF]
Shanjai Kumar S +4 more
europepmc +1 more source
A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao +9 more
wiley +1 more source
Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. [PDF]
Lin H, Chen X, Zhang L, Bao Z, Tang S.
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Techno-economic analysis of a power-to-hydrogen system in heavy industries with and without national incentives. [PDF]
Marouani I +5 more
europepmc +1 more source
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah +4 more
wiley +1 more source

