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Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks
Nanotechnology, Volume: 33, Issue: 27, Start page: 275602
Swansea University Authors: Wenkai Wu, Theodore Pavloudis, Richard Palmer
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DOI (Published version): 10.1088/1361-6528/ac5e6d
Abstract
Neuromorphic computing systems may be the future of computing and cluster-based networks are a promising architecture for the realization of these systems. The creation and dissolution of synapses between the clusters are of great importance for their function. In this work, we model the thermal bre...
Published in: | Nanotechnology |
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ISSN: | 0957-4484 1361-6528 |
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IOP Publishing
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa60490 |
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2022-08-02T12:36:50.8833493 v2 60490 2022-07-13 Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks a16d7aa164dbd160483d176cd72c1fdd Wenkai Wu Wenkai Wu true false dd06e768e93bf50482735456af6f5a04 Theodore Pavloudis Theodore Pavloudis true false 6ae369618efc7424d9774377536ea519 0000-0001-8728-8083 Richard Palmer Richard Palmer true false 2022-07-13 Neuromorphic computing systems may be the future of computing and cluster-based networks are a promising architecture for the realization of these systems. The creation and dissolution of synapses between the clusters are of great importance for their function. In this work, we model the thermal breakage of a gold nanofilament located between two gold nanoparticles via molecular dynamics simulations to study on the mechanisms of neuromorphic nanoparticle-based devices. We employ simulations of Au nanowires of different lengths (20–80 Å), widths (4–8 Å) and shapes connecting two Au1415 nanoparticles (NPs) and monitor the evolution of the system via a detailed structural identification analysis. We found that atoms of the nanofilament gradually aggregate towards the clusters, causing the middle of wire to gradually thin and then break. Most of the system remains crystalline during this process but the center is molten. The terminal NPs increase the melting point of the NWs by fixing the middle wire and act as recrystallization areas. We report a strong dependence on the width of the NWs, but also their length and structure. These results may serve as guidelines for the realization of cluster-based neuromorphic computing systems. Journal Article Nanotechnology 33 27 275602 IOP Publishing 0957-4484 1361-6528 Atomic-switch networks, nanoclusters, nanoparticles, neuromorphic computing, molecular dynamics 2 7 2022 2022-07-02 10.1088/1361-6528/ac5e6d Data availability statement: The data that support the findings of this study are available upon reasonable request from the authors. COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) The authors are grateful for partial financial support from the European Union’s Horizon 2020 research and innovation programme—the RADON project (GA 872494) within the H2020-MSCA-RISE-2019 call. This work was also supported in part by Deutsche Forschungsgemeinschaft (Project no. 415716638). 2022-08-02T12:36:50.8833493 2022-07-13T15:59:45.0988097 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Wenkai Wu 1 Theodore Pavloudis 2 Alexey V Verkhovtsev 0000-0003-1561-9554 3 Andrey V Solov’yov 4 Richard Palmer 0000-0001-8728-8083 5 60490__24587__21747f2206d7401197dd187f28fdafd4.pdf 60490.pdf 2022-07-13T16:03:14.8175919 Output 1301926 application/pdf Version of Record true © 2022 The Authors. Released under the terms of a Creative Commons Attribution 4.0 licence true eng http://creativecommons.org/licenses/by/4.0 |
title |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
spellingShingle |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks Wenkai Wu Theodore Pavloudis Richard Palmer |
title_short |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
title_full |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
title_fullStr |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
title_full_unstemmed |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
title_sort |
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks |
author_id_str_mv |
a16d7aa164dbd160483d176cd72c1fdd dd06e768e93bf50482735456af6f5a04 6ae369618efc7424d9774377536ea519 |
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a16d7aa164dbd160483d176cd72c1fdd_***_Wenkai Wu dd06e768e93bf50482735456af6f5a04_***_Theodore Pavloudis 6ae369618efc7424d9774377536ea519_***_Richard Palmer |
author |
Wenkai Wu Theodore Pavloudis Richard Palmer |
author2 |
Wenkai Wu Theodore Pavloudis Alexey V Verkhovtsev Andrey V Solov’yov Richard Palmer |
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Nanotechnology |
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33 |
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275602 |
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10.1088/1361-6528/ac5e6d |
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IOP Publishing |
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Neuromorphic computing systems may be the future of computing and cluster-based networks are a promising architecture for the realization of these systems. The creation and dissolution of synapses between the clusters are of great importance for their function. In this work, we model the thermal breakage of a gold nanofilament located between two gold nanoparticles via molecular dynamics simulations to study on the mechanisms of neuromorphic nanoparticle-based devices. We employ simulations of Au nanowires of different lengths (20–80 Å), widths (4–8 Å) and shapes connecting two Au1415 nanoparticles (NPs) and monitor the evolution of the system via a detailed structural identification analysis. We found that atoms of the nanofilament gradually aggregate towards the clusters, causing the middle of wire to gradually thin and then break. Most of the system remains crystalline during this process but the center is molten. The terminal NPs increase the melting point of the NWs by fixing the middle wire and act as recrystallization areas. We report a strong dependence on the width of the NWs, but also their length and structure. These results may serve as guidelines for the realization of cluster-based neuromorphic computing systems. |
published_date |
2022-07-02T08:12:43Z |
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11.04748 |