Evidence map›Paper›PMID 38961083›Full record

ArticleNature communications2024

Environmental damping and vibrational coupling of confined fluids within isolated carbon nanotubes.

Yu-Ming Tu, Matthias Kuehne, Rahul Prasanna Misra, Cody L Ritt, Hananeh Oliaei, Samuel Faucher, Haokun Li, Xintong Xu, Aubrey Penn, Sungyun Yang and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Yu-Ming Tu *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-2007-5005
Matthias Kuehne *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5096-7522
Rahul Prasanna MisraDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5574-2384
Cody L RittDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hananeh OliaeiDepartment of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0002-0828-6897
Samuel FaucherDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Haokun LiDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Xintong XuDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0939-7652
Aubrey PennMIT.nano, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sungyun YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3728-9544
Jing Fan YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8180-7452
Kyle SendgikoskiDepartment of Physics, University of Maryland, College Park, MD, USA.
Joshika ChakravertyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
John CumingsDepartment of Materials Science and Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-5476-452X
Arun MajumdarDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Narayana R AluruDepartment of Mechanical Engineering, Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-9622-7837
Jordan A HachtelCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID http://orcid.org/0000-0002-9728-0920
Daniel BlankschteinDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7836-415X
Michael S StranoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. strano@mit.edu.ORCID http://orcid.org/0000-0003-2944-808X

Funding

DOE | Office of Science (SC) DE-SC0019112
6 · The paper itself

Abstract

Because of their large surface areas, nanotubes and nanowires demonstrate exquisite mechanical coupling to their surroundings, promising advanced sensors and nanomechanical devices. However, this environmental sensitivity has resulted in several ambiguous observations of vibrational coupling across various experiments. Herein, we demonstrate a temperature-dependent Radial Breathing Mode (RBM) frequency in free-standing, electron-diffraction-assigned Double-Walled Carbon Nanotubes (DWNTs) that shows an unexpected and thermally reversible frequency downshift of 10 to 15%, for systems isolated in vacuum. An analysis based on a harmonic oscillator model assigns the distinctive frequency cusp, produced over 93 scans of 3 distinct DWNTs, along with the hyperbolic trajectory, to a reversible increase in damping from graphitic ribbons on the exterior surface. Strain-dependent coupling from self-tensioned, suspended DWNTs maintains the ratio of spring-to-damping frequencies, producing a stable saturation of RBM in the low-tension limit. In contrast, when the interior of DWNTs is subjected to a water-filling process, the RBM thermal trajectory is altered to that of a Langmuir isobar and elliptical trajectories, allowing measurement of the enthalpy of confined fluid phase change. These mechanisms and quantitative theory provide new insights into the environmental coupling of nanomechanical systems and the implications for devices and nanofluidic conduits.

Identifiers

PMID38961083
PMCPMC11222464

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.