Results 241 to 250 of about 6,488,304 (373)

Self‐Cooling Molecular Spin Qudits

open access: yesAdvanced Materials, EarlyView.
A material made of [GdEr] molecular dimers can encode a qudit and perform as a magnetic refrigerant. Microwave resonant pulses coherently manipulate its 16 spin states, while direct demagnetization measurements cool the material and a device down to temperatures below 1 K.
Elías Palacios   +12 more
wiley   +1 more source

Independent Wavefront Multiplexing with Metasurfaces via Non‐Injective Transformation

open access: yesAdvanced Materials, EarlyView.
In this work, a universal metasurface multiplexing strategy is presented based on non‐injective transformation. By jointly optimizing two metasurfaces, multiplexed channels achieve independent wavefront control, overcoming crosstalk limits of single‐layer designs.
Xiao Jin, Thomas Zentgraf
wiley   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

open access: yesAdvanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Tailoring Advanced Metal‐Based Nanomedicines for Adaptable Nanodynamic Disease Therapies and Theranostics

open access: yesAdvanced Materials, EarlyView.
This review summarizes recent advances in metal‐based nanomaterials (MBNs) as multifunctional platforms for next‐generation diagnostics and nanodynamic therapies (NDTs), highlighting their structural tunability, diverse therapeutic modalities, and broad biomedical applications in oncology and infectious disease control.
Qihang Ding   +11 more
wiley   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

open access: yesAdvanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob   +3 more
wiley   +1 more source

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