Papers
Topics
Authors
Recent
AI Research Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 60 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 14 tok/s Pro
GPT-5 High 15 tok/s Pro
GPT-4o 93 tok/s Pro
Kimi K2 156 tok/s Pro
GPT OSS 120B 441 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Programmable actuation of porous poly(ionic liquid) membranes by aligned carbon nanotubes (1609.06415v1)

Published 21 Sep 2016 in cond-mat.soft

Abstract: A composite porous polymer membrane with aligned CNTs in its matrix is developed which exhibits programmable, anisotropic actuation towards organic vapors. The alignment of CNTs in multiple directions and the gradient porous structure of the membrane are critical for the actuation, and the actuating direction can be well controlled at a direction perpendicular to the longitudinal orientation of CNTs. The reversible actuation may be repeated for 300 cycles without obvious fatigue. These polymer composites are promising building blocks for a wide variety of applications such as sensors and actuators. The concept of programmable actuation succeeded here in a porous polymer mateial via complex orientation of CNTs reflects a new high level of control over physical motions that is applicable to a broad range of soft actuators.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube