Results 241 to 250 of about 7,113,012 (334)

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp   +7 more
wiley   +1 more source

Excited State Modulation in Carbene‐Metal‐Amides to Design Fast and Bright Blue Delayed Fluorescence

open access: yesAdvanced Functional Materials, EarlyView.
Gold‐centered carbene‐metal amide (CMA) materials with carbonyl‐group substitution on the amide donor ligand. Molecular design ensures that the charge transfer (CT) state is lower in energy than the locally excited (3LE) states. The energy difference between CT and LE states controls the rate of the delayed fluorescence.
Charlotte Riley   +3 more
wiley   +1 more source

Reconfigurable Three‐Dimensional Superconducting Nanoarchitectures

open access: yesAdvanced Functional Materials, EarlyView.
3D superconducting nanostructures offer new possibilities for emergent physical phenomena. However, fabricating complex geometries remains challenging. Here 3D nanoprinting of complex 3D superconducting nanoarchitectures is established. As well as propagating superconducting vortices in 3D, anisotropic superconducting properties with geometric ...
Elina Zhakina   +11 more
wiley   +1 more source

Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts

open access: yesAdvanced Functional Materials, EarlyView.
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li   +3 more
wiley   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

open access: yesAdvanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang   +9 more
wiley   +1 more source

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