Publisher Correction: Wave energy budget analysis in the Earth's radiation belts uncovers a missing energy. [PDF]
Artemyev AV +4 more
europepmc +1 more source
Impact of Rapid Thermal Annealing on the Structural and Piezoelectric Properties of AlN Thin Films
Aluminum nitride (AlN) is a biocompatible piezoelectric material suitable for energy harvesting in MEMS resonators. Through rapid thermal annealing, a threshold for CMOS‐compatible processes is established. AlN improved its crystallinity and enhanced the piezoelectric coefficient by ∼160%. Devices show an improvement in the electromechanical properties
Laura Mazón‐Maldonado +7 more
wiley +1 more source
Large-scale energy budget of impulsive magnetic reconnection: Theory and simulation. [PDF]
Kiehas SA +5 more
europepmc +1 more source
Fully spray‐processed oxide thin‐film transistors are advanced by decoupling dielectric quality from contact energetics. Thermochemically densified MgO suppresses defect‐mediated leakage and improves electrostatic control, while an ultrathin YbOx interlayer induces a 1.67 eV work‐function shift that boosts mobility from ∼40 to ∼94 cm2 V−1 s−1.
Ahmed Mohamed +5 more
wiley +1 more source
Heatwaves diminish the survival of a subtidal gastropod through reduction in energy budget and depletion of energy reserves. [PDF]
Leung JYS, Connell SD, Russell BD.
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
Decadal evolution of the surface energy budget during the fast warming and global warming hiatus periods in the ERA-interim. [PDF]
Hu X +5 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
Understanding Climate Feedbacks and Sensitivity Using Observations of Earth's Energy Budget. [PDF]
Loeb NG, Su W, Kato S.
europepmc +1 more source

