Large-eddy simulations reveal that low-lying clouds accelerate offshore wind farm wake recovery through increased turbulence induced by cloud-top radiative cooling, boosting the performance of downstream wind farms.

This work introduces a multiscale computational framework that bridges atomistic and device scales to model atomic insertion materials, including biphasic transitions. Applied to a promising sodium-ion cathode, this framework provides a comprehensive tool for designing battery materials.

This study establishes a physically grounded relationship to predict neutron swelling from ion-irradiation data, providing a practical tool to evaluate alloy performance for nuclear energy systems.

Temperature-dependent photoluminescence spectroscopy identifies shallow defects in mixed-halide perovskites, clarifying key loss mechanisms in these photovoltaic materials.

Machine-learning simulations reveal complex charge stability in BiVO${}_4$ under realistic conditions for photocatalytic water splitting.

This work establishes a nondestructive screening method and manufacturing guidelines to minimize mechanical stress in encapsulated perovskite solar modules.

This work introduces a diagnostic tool based on spectrally resolved illumination to identify local recombination losses in perovskite solar cells.

A detailed resource comparison for simulating complex quantum dynamics reveals that analog neutral-atom quantum computers can provide significant runtime and energy advantages over classical methods as system size scales.

A multiscale model explores complex ion and fluid dynamics in alkaline water electrolyzers, elucidating the transformative impact of elevated temperature on the physical and electrochemical properties.

This study establishes a comprehensive framework to resolve coupled structural and chemical processes in alloying anodes, providing a pathway to guide the rational design of battery materials under realistic electrochemical conditions.

Spatially and temporally resolved X-ray characterization reveals how the selenium distribution governs the local optoelectronic properties of Cd(Se,Te) solar cells.

A simple yet quantitatively accurate theory, informed by computer simulations, explains how water scarcity in extremely concentrated aqueous electrolytes drives the formation of branched ion clusters and ultimately a gel-like network.

This Review contextualizes the modern revival of selenium photovoltaics by bridging historical milestones with state-of-the-art performance. By analyzing remaining efficiency bottlenecks, it offers a definitive outlook for the future development of high-efficiency selenium solar cells.