Data

Data from: Detection of Ring and Adatom Defects in Activated Disordered Carbon via Fluctuation Nanobeam Electron Diffraction

RMIT University, Australia
Mark Biggs (Aggregated by) Espen Bojesen (Aggregated by) Cheng Hu (Aggregated by) Amelia Liu (Aggregated by) Andrew Martin (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25439/rmt.12204698.v2&rft.title=Data from: Detection of Ring and Adatom Defects in Activated Disordered Carbon via Fluctuation Nanobeam Electron Diffraction&rft.identifier=https://doi.org/10.25439/rmt.12204698.v2&rft.publisher=RMIT University, Australia&rft.description=The carbon data was measured on an electron microscope in a commercial file format (.ser). Carbon data consists of 6 data files (944Mb each) and each contains many images. Gold nanocrystal diffraction data is a single raw binary format that contains many images. Script provided to access these files via Python.Data supporting published article: https://doi.org/10.1002/smll.202000828Article abstract: How the structure of disordered porous carbons evolve during their activation is particularly poorly understood. This problem endures primarily because of a lack of high-resolution 3D techniques for the characterization of amorphous and highly disordered structure. To address this, the measurement of the 3D pair-angle distribution function using nanodiffraction patterns from high-energy electrons is demonstrated. These rich multiatom correlations are measured for a disordered carbon and they clearly show the structural evolution during activation. They provide previously inaccessible bond-angle information and direct evidence for the presence of ring and adatom defects. An increase in the short-range order and the number of fivefold ring defects with activation are observed, indicating stress relaxation by increasing curvature. These observations support models of disordered porous carbons based on curved graphene networks and explain how large amounts of free volume can be created with surprisingly small changes in the average ratios of tetrahedral to graphitic bonding.&rft.creator=Amelia Liu&rft.creator=Andrew Martin&rft.creator=Cheng Hu&rft.creator=Espen Bojesen&rft.creator=Mark Biggs&rft.creator=Matthew Weyland&rft.creator=Tim Petersen&rft.date=2020&rft_rights=CC-BY-NC-2.0&rft_subject=Activated Carbon&rft_subject=Defects&rft_subject=Disordered materials&rft_subject=Electron diffraction&rft_subject=Fluctuation microscopy&rft_subject=Pair-Angle Distribution Function&rft_subject=Nanomaterials&rft.type=dataset&rft.language=English Access the data

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The carbon data was measured on an electron microscope in a commercial file format (.ser). Carbon data consists of 6 data files (944Mb each) and each contains many images. Gold nanocrystal diffraction data is a single raw binary format that contains many images. Script provided to access these files via Python.

Data supporting published article: https://doi.org/10.1002/smll.202000828

Article abstract: How the structure of disordered porous carbons evolve during their activation is particularly poorly understood. This problem endures primarily because of a lack of high-resolution 3D techniques for the characterization of amorphous and highly disordered structure. To address this, the measurement of the 3D pair-angle distribution function using nanodiffraction patterns from high-energy electrons is demonstrated. These rich multiatom correlations are measured for a disordered carbon and they clearly show the structural evolution during activation. They provide previously inaccessible bond-angle information and direct evidence for the presence of ring and adatom defects. An increase in the short-range order and the number of fivefold ring defects with activation are observed, indicating stress relaxation by increasing curvature. These observations support models of disordered porous carbons based on curved graphene networks and explain how large amounts of free volume can be created with surprisingly small changes in the average ratios of tetrahedral to graphitic bonding.

Issued: 2020-04-30

Created: 2020-07-14

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Andrew Martin

orcid : http://orcid.org/0000-0003-3704-1829

Tim Petersen

local : 8857276

Matthew Weyland

local : 8857283

Amelia Liu

url : https://figshare.com/authors/Amelia_Liu/4242076