Results 211 to 220 of about 330,630 (281)

Low‐Outgassing Liquid Metal–Silicone Composites for Multifunctional Space Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Integrating liquid metal microdroplets into a space‐grade silicone creates a multifunctional composite while preserving its inherent flexibility and low‐outgassing behavior. The composite has 11×$\times$ higher thermal conductivity while remaining thermally stable and maintaining a total mass loss of ≤$\le$ 1% under thermal vacuum testing.
Spencer Pak   +5 more
wiley   +1 more source

Light Scattering Contrast Inversion of Single Metal Nanoparticles Inside a Nanofluidic Channel. [PDF]

open access: yesJ Phys Chem C Nanomater Interfaces
Wilske L   +4 more
europepmc   +1 more source

Red‐Light Tomographic Volumetric 3D Printing in Seconds for Fabrication of Colorless Structures

open access: yesAdvanced Materials Technologies, EarlyView.
A custom red‐light‐responsive TVAM platform combines methylene blue, triethanolamine, and PEGDA to fabricate transparent crosslinked hydrogels. Light patterns are projected into a rotating resin container, where a sacrificial photoinitiator system enables rapid polymerization and colorless channel‐containing structures, utilizing low‐energy light for ...
Ali Eftekhari   +9 more
wiley   +1 more source

Processing‐Driven Engineering of Transparent Conductive In‐Zn‐O Thin Films: A Comparative Study of Spin‐Coating, Inkjet Printing, and Screen Printing

open access: yesAdvanced Materials Technologies, EarlyView.
Transparent, electrically conductive In–Zn–O thin films are solution‐processed by spin coating, inkjet printing, and, as demonstrated here for the first time, screen printing. The chosen deposition technique determines the solution composition, which in turn governs the resulting microstructure and optoelectronic performance.
Danjela Kuscer   +3 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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