Results 161 to 170 of about 1,712,646 (286)

Good vibrations: Exploring how orbital resonance shapes the Galilean moons. [PDF]

open access: yesNat Commun
Veenstra A   +4 more
europepmc   +1 more source

Atmospheric Water Harvesting Through Polymer Hydrogel Sorbents: Materials Chemistry, Design Strategies, and Applications

open access: yesAdvanced Science, EarlyView.
Polymer‐based hydrogels have emerged as promising materials for atmospheric water harvesting (AWH) due to their high water affinity, tunable network structure, and excellent moisture adsorption‐desorption performance. Functional hydrogel systems enable efficient water capture and controlled release under low‐energy conditions, offering a sustainable ...
Swagata Datta   +6 more
wiley   +1 more source

Design Rules for Quantitative Control of Intragrain Planar Defects in Halide Perovskites

open access: yesAdvanced Science, EarlyView.
Dose‐budgeted electron microscopy reveals the design rules governing intragrain planar defects in halide perovskites: {112}t ferroelastic twins proliferate with increasing tetragonality and grain size, whereas {111}c twins and stacking faults emerge as the lattice approaches cubic symmetry.
Byeongjun Gil   +3 more
wiley   +1 more source

Deuterated water and the formation of the satellites of Uranus. [PDF]

open access: yesProc Natl Acad Sci U S A
Brown ME   +7 more
europepmc   +1 more source

Machine‐Learning‐Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles

open access: yesAdvanced Science, EarlyView.
This study establishes a universally applicable framework for vesicle surface analysis by combining engineered amyloid‐β‐displaying nanovesicles with machine‐learning‐optimized impedance spectroscopy. Equivalent‐circuit modeling reveals that membrane capacitance correlates with the surface protein states, enabling label‐free quantification of vesicle ...
Jaeyoon Song   +5 more
wiley   +1 more source

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

open access: yesAdvanced Science, EarlyView.
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou   +2 more
wiley   +1 more source

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