Results 151 to 160 of about 30,487 (300)

Smart Power Grid Synchronization With Fault Tolerant Nonlinear Estimation

open access: yes, 2016
Effective real-time state estimation is essential for smart grid synchronization, as electricity demand continues to grow, and renewable energy resources increase their penetration into the grid.
Yaz, Edwin E., Wang, Xin
core   +1 more source

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim   +13 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
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

Phase-locked loop based synchronization schemes for three-phase unbalanced and distorted grid: a review

open access: yes
The rapidly growing dispersion of distributed generation systems into the utility grid needs appropriate control techniques to stay interconnected even under abnormal and distorted grid conditions to ensure the overall grid stability.
Misra, Banishree   +2 more
core   +2 more sources

DBSsync: combining intracranial and multimodal data to investigate new biomarkers in Parkinson's disease. [PDF]

open access: yesNPJ Parkinsons Dis
Vivien J   +9 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
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

Modelling the effect of V1a receptor antagonism and its potential therapeutic effect in circadian disorders. [PDF]

open access: yesNPJ Biol Timing Sleep
Boareto M   +5 more
europepmc   +1 more source

Natural Anionic Interfacial Reconstruction for Suppressing Pitting Corrosion Enables Durable Seawater Zinc‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
In situ electrochemically induced molecular sieve‐alginate interface layer can suppress chloride‐induced pitting corrosion, hydrogen evolution, and dendrite growth, while regulating zinc ion transport and deposition, thereby protecting the zinc anode in seawater electrolyte.
Yunpeng Zhong   +7 more
wiley   +1 more source

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