Results 241 to 250 of about 159,585 (324)

Bottlenecks‐Breaking in Zinc‐Iodine Batteries Toward Practical Implementation: A Review and Perspective

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Aqueous zinc–iodine batteries (Zn–I2Bs) offer promise for grid storage due to safety and cost advantages yet face critical bottlenecks: severe self‐discharge (polyiodide shuttling and HER), limited energy density, sluggish kinetics, and zinc anode instability.
Jia‐Lin Yang   +3 more
wiley   +1 more source

Multi-scale parameterization of neural rhythmicity with lagged Hilbert autocoherence. [PDF]

open access: yesImaging Neurosci (Camb)
Zhang S   +5 more
europepmc   +1 more source

Electrolyte Design Strategies for High‐Energy‐Density Li/Na/K‐Metal Batteries Toward Grid‐Scale Energy Storage: From Liquid to Solid

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review summarizes key parameters including cathode loading and electrolyte consumption, clarifies the practical application scope of alkali metal batteries, and research progress on advanced electrolytes for grid‐scale energy storage systems. The growing demand for grid‐scale battery energy storage systems (BESSs) has prompted researchers to turn ...
Hui Shao, Zhiwei Ni, Jinkui Feng
wiley   +1 more source

Tracking the HS-HS, HS-LS, and LS-LS States in the Spin Transition of a Dinuclear Fe(II) Complex by Broadband FTIR Spectroscopy. [PDF]

open access: yesJ Phys Chem Lett
Walter M   +7 more
europepmc   +1 more source

Continuous outcome estimation in N‐of‐1 trials for accelerated decision‐making

open access: yesEpilepsia, EarlyView.
Abstract Objective N‐of‐1 trials aim to determine the therapeutic effect for a single individual. This individualized approach necessitates collecting multiple data points over time through repeated alternating periods of active treatment and a comparator or control condition.
Victoria Defelippe   +5 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

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