Results 221 to 230 of about 14,875 (278)

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

open access: yesAdvanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar   +15 more
wiley   +1 more source

Simultaneous tactile–morphological perception enables sensorimotor autonomy in soft robots

open access: yes
Dong H   +10 more
europepmc   +1 more source

Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles. [PDF]

open access: yesFront Robot AI
Job M   +6 more
europepmc   +1 more source

High‐Throughput 3D Matrigel‐based Droplet Microfluidics for Single‐Cell Function‐to‐Omics Analysis of Cytotoxic Immune Cells in Solid Tumor Interactions

open access: yesAdvanced Materials Technologies, EarlyView.
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey   +6 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Radiomic clustering using graph network techniques coupled with unbalanced optimal transport. [PDF]

open access: yesComput Struct Biotechnol J
Oh JH   +5 more
europepmc   +1 more source

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