A unified multi-agent optimization framework for intelligent PV-integrated smart energy systems. [PDF]
Khan MM +4 more
europepmc +1 more source
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
Constructing Intrinsically Safe Lithium-Ion Battery Energy Storage via Gradient-Laminated Ceramifiable Silicone Foams. [PDF]
Qiu S, Xu J, Shi C, Zhang L.
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
Start-Up Circuits for Ultra-Low-Voltage Thermoelectric Energy Harvesting: A Topology-Oriented Review and Design Guide. [PDF]
Ali M, Hassan SJU, Cho S.
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
Graphene-silver hybrid nanoparticle embedded phase change materials for enhanced thermal management of lithium-ion batteries. [PDF]
Akshay B +4 more
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
Advances in Phase Change Materials for Thermal Energy Storage and Management: Challenges and Enhancement Strategies. [PDF]
Muhabie AA, Mengesha WG, Yang X.
europepmc +1 more source
Redesigning Interlayers for Anode‐Free Batteries: Harnessing Continuity and Metal Inventory
Interlayers for anode‐free batteries must provide continuous interfacial coverage while remaining thin enough to preserve the finite cathode‐derived active‐metal inventory. This Perspective couples thin‐film closure with stoichiometric active‐metal consumption to reveal practical design windows across chemistry, substrate roughness, cathode loading ...
Rosalía Cid, Lorenzo Fallarino
wiley +1 more source

