Literature DB >> 24564284

Hydrogenation-assisted graphene origami and its application in programmable molecular mass uptake, storage, and release.

Shuze Zhu1, Teng Li.   

Abstract

The malleable nature of atomically thin graphene makes it a potential candidate material for nanoscale origami, a promising bottom-up nanomanufacturing approach to fabricating nanobuilding blocks of desirable shapes. The success of graphene origami hinges upon precise and facile control of graphene morphology, which still remains as a significant challenge. Inspired by recent progresses on functionalization and patterning of graphene, we demonstrate hydrogenation-assisted graphene origami (HAGO), a feasible and robust approach to enabling the formation of unconventional carbon nanostructures, through systematic molecular dynamics simulations. A unique and desirable feature of HAGO-enabled nanostructures is the programmable tunability of their morphology via an external electric field. In particular, we demonstrate reversible opening and closing of a HAGO-enabled graphene nanocage, a mechanism that is crucial to achieve molecular mass uptake, storage, and release. HAGO holds promise to enable an array of carbon nanostructures of desirable functionalities by design. As an example, we demonstrate HAGO-enabled high-density hydrogen storage with a weighted percentage exceeding the ultimate goal of US Department of Energy.

Entities:  

Year:  2014        PMID: 24564284     DOI: 10.1021/nn500025t

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  15 in total

Review 1.  Fabricating biomedical origami: a state-of-the-art review.

Authors:  Meredith Johnson; Yue Chen; Sierra Hovet; Sheng Xu; Bradford Wood; Hongliang Ren; Junichi Tokuda; Zion Tsz Ho Tse
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-04       Impact factor: 2.924

2.  The encapsulation of the gemcitabine anticancer drug into grapheme nest: a theoretical study.

Authors:  Marwa Mlaouah; Bahoueddine Tangour; Mohammed El Khalifi; Tijani Gharbi; Fabien Picaud
Journal:  J Mol Model       Date:  2018-03-22       Impact factor: 1.810

3.  Mechanically-Guided Deterministic Assembly of 3D Mesostructures Assisted by Residual Stresses.

Authors:  Haoran Fu; Kewang Nan; Paul Froeter; Wen Huang; Yuan Liu; Yiqi Wang; Juntong Wang; Zheng Yan; Haiwen Luan; Xiaogang Guo; Yijie Zhang; Changqing Jiang; Luming Li; Alison C Dunn; Xiuling Li; Yonggang Huang; Yihui Zhang; John A Rogers
Journal:  Small       Date:  2017-05-10       Impact factor: 13.281

Review 4.  From Flatland to Spaceland: Higher Dimensional Patterning with Two-Dimensional Materials.

Authors:  Po-Yen Chen; Muchun Liu; Zhongying Wang; Robert H Hurt; Ian Y Wong
Journal:  Adv Mater       Date:  2017-02-28       Impact factor: 30.849

5.  Programmable Extreme Pseudomagnetic Fields in Graphene by a Uniaxial Stretch.

Authors:  Shuze Zhu; Joseph A Stroscio; Teng Li
Journal:  Phys Rev Lett       Date:  2015-12-08       Impact factor: 9.161

6.  Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding.

Authors:  Daeha Joung; Daniel Wratkowski; Chunhui Dai; Seokhyeong Lee; Jeong-Hyun Cho
Journal:  J Vis Exp       Date:  2018-09-23       Impact factor: 1.355

7.  Robust rotation of rotor in a thermally driven nanomotor.

Authors:  Kun Cai; Jingzhou Yu; Jiao Shi; Qing-Hua Qin
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

8.  Surface hydrogenation regulated wrinkling and torque capability of hydrogenated graphene annulus under circular shearing.

Authors:  Yinfeng Li; Silin Liu; Dibakar Datta; Zhonghua Li
Journal:  Sci Rep       Date:  2015-11-12       Impact factor: 4.379

9.  A method for measuring rotation of a thermal carbon nanomotor using centrifugal effect.

Authors:  Kun Cai; Jingzhou Yu; Jiao Shi; Qing H Qin
Journal:  Sci Rep       Date:  2016-06-02       Impact factor: 4.379

10.  Ultrathin thermoresponsive self-folding 3D graphene.

Authors:  Weinan Xu; Zhao Qin; Chun-Teh Chen; Hye Rin Kwag; Qinli Ma; Anjishnu Sarkar; Markus J Buehler; David H Gracias
Journal:  Sci Adv       Date:  2017-10-06       Impact factor: 14.136

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