Literature DB >> 33982572

High Osmotic Power Generation via Nanopore Arrays in Hybrid Hexagonal Boron Nitride/Silicon Nitride Membranes.

Khadija Yazda1, Katarina Bleau1, Yuning Zhang1,2, Xavier Capaldi1, Thomas St-Denis1, Peter Grutter1, Walter W Reisner1.   

Abstract

Nanopores embedded in two-dimensional (2D) nanomaterials are a promising emerging technology for osmotic power generation. Here, coupling our new AFM-based pore fabrication approach, tip-controlled local breakdown (TCLB), with a hybrid membrane formed by coating silicon nitride (SiN) with hexagonal boron nitride (hBN), we show that high osmotic power density can be obtained in systems that do not possess the thinness of atomic monolayers. In our approach, the high osmotic performance arises from charge separation induced by the highly charged hBN surface rather than charge on the inner pore wall. Moreover, exploiting TCLB's capability of producing sub 10 nm pore arrays, we investigate the effects of pore-pore interaction on the overall power density. We find that an optimum pore-to-pore spacing of ∼500 nm is required to maintain an efficient selective transport mechanism.

Entities:  

Keywords:  Nanopores; ion transport; osmotic power generation; pore−pore cross talk; two-dimensional nanomaterials

Year:  2021        PMID: 33982572     DOI: 10.1021/acs.nanolett.0c04704

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  3 in total

1.  A pressure driven electric energy generator exploiting a micro- to nano-scale glass porous filter with ion flow originating from water.

Authors:  Yo Tanaka; Satoshi Amaya; Shun-Ichi Funano; Hisashi Sugawa; Wataru Nagafuchi; Yuri Ito; Yusufu Aishan; Xun Liu; Norihiro Kamamichi; Yaxiaer Yalikun
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

2.  Porous Ti3C2Tx MXene Membranes for Highly Efficient Salinity Gradient Energy Harvesting.

Authors:  Seunghyun Hong; Jehad K El-Demellawi; Yongjiu Lei; Zhixiong Liu; Faisal Al Marzooqi; Hassan A Arafat; Husam N Alshareef
Journal:  ACS Nano       Date:  2022-01-09       Impact factor: 15.881

Review 3.  Chemical vapor deposition of 2D materials: A review of modeling, simulation, and machine learning studies.

Authors:  Sayan Bhowmik; Ananth Govind Rajan
Journal:  iScience       Date:  2022-01-29
  3 in total

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