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@article{ISI:001191219100001,
title = {Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function},
author = {Jia Hui Bong and Sergey Grebenchuk and Konstantin G Nikolaev and Celestine P T Chee and Kou Yang and Siyu Chen and Denis Baranov and Colin R Woods and Daria V Andreeva and Kostya S Novoselov},
doi = {10.1039/d3nh00570d},
times_cited = {1},
issn = {2055-6756},
year = {2024},
date = {2024-03-27},
journal = {NANOSCALE HORIZONS},
volume = {9},
number = {5},
pages = {863-872},
publisher = {ROYAL SOC CHEMISTRY},
address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND},
abstract = {The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000973042300001,
title = {Colossal enhancement of electrical and mechanical properties of graphene nanoscrolls},
author = {Mariana C F Costa and Pei Rou Ng and Sergey Grebenchuck and Jun You Tan and Gavin K W Koon and Hui Li Tan and Colin R Woods and Ricardo K Donato and Kostya S Novoselov and Antonio Castro H Neto},
doi = {10.1016/j.carbon.2023.03.025},
times_cited = {4},
issn = {0008-6223},
year = {2023},
date = {2023-03-29},
journal = {CARBON},
volume = {208},
pages = {140-147},
publisher = {PERGAMON-ELSEVIER SCIENCE LTD},
address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
abstract = {One of the most important characteristics of two-dimensional (2D) electrolytes [1] is their ability to reversibly transform into one-dimensional (1D) structures, such as nanoscrolls. However, when formed, these 1D structures are soft and unstable (because of the weak internal chemical bonds) and poorly electrically conducting (since chemical functionalization introduces a large degree of disorder in the 2D material basal plane). Using Peak-ForceTM quantitative nano-mechanics (PF-QNMTM) mode in atomic force microscopy (AFM) and electrical transport measurements, we demonstrate that a one-step, catalyst-free, graphitization of 1D graphene nano-scrolls leads to an enhanced structural stability (an increase of 6 times in the Young's modulus) and a dramatic reduction of structural disorder (observed by a resulting 5 orders of magnitude reduction of the electrical resistance) These large changes in physical properties open up the doors for the use of 1D graphene nanoscrolls in the study of exotic materials in 1D as well as a plethora of possible industrial applications, such as hydrogen and energy storage, akin to carbon nanotubes but with a much bigger flexibility in terms of morphologies and functionalities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000860497200006,
title = {Potentials of individual atoms by convergent beam electron diffraction},
author = {Tatiana Latychevskaia and Colin Robert Woods and Yi Bo Wang and Matthew Holwill and Eric Prestat and Sara Mustafi and Sarah J Haigh and Konstantin S Novoselov},
doi = {10.1016/j.carbon.2022.09.003},
times_cited = {1},
issn = {0008-6223},
year = {2022},
date = {2022-09-19},
journal = {CARBON},
volume = {201},
pages = {244-250},
publisher = {PERGAMON-ELSEVIER SCIENCE LTD},
address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
abstract = {In convergent beam electron diffraction (CBED) on two-dimensional (2D) materials, the intensity distributions within the individual CBED spots map the local atomic arrangements within the probed region. In this study we demonstrate that the average intensities within the CBED spots essentially depend on the scattering parameters by a single atom, thus, offering the possibility of the direct measurement of such parameters. Scattering potential of an individual atom can be approximated by the Gaussian function and its parameters, the standard deviation and the maximal phase shift, can be recovered from the ratio of the intensities in the zero-and higher orders spots in CBED pattern. In order to demonstrate this, we simulated CBED patterns and extracted the atomic scattering parameters from such patterns. In the simulated examples, no weak phase object approximation is applied and the proposed method provides accurate results even for materials with large phase shifts up to 1.5 rad, as for example tungsten. The scattering parameters recovered from the experimental CBED patterns of graphene and twisted graphene-hBN structure show good agreement with the theoretically obtained values.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}