Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations

Synthesising novel gold nanoparticles and -clusters can be often easier than characterising them, and after experimental analysis many options for the possible molecular formula of the cluster may remain as equally valid options. These options may be investigated by quantum computational means, s...

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Main Author: Lautala, Saara
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Fysiikan laitos, Department of Physics, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2017
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/55260
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author Lautala, Saara
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics University of Jyväskylä Jyväskylän yliopisto
author_facet Lautala, Saara Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics University of Jyväskylä Jyväskylän yliopisto Lautala, Saara Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Fysiikan laitos Department of Physics University of Jyväskylä Jyväskylän yliopisto
author_sort Lautala, Saara
datasource_str_mv jyx
description Synthesising novel gold nanoparticles and -clusters can be often easier than characterising them, and after experimental analysis many options for the possible molecular formula of the cluster may remain as equally valid options. These options may be investigated by quantum computational means, such as density functional theory, but since DFT includes the electronic interactions, this might take time and excessive effort if the amount of options is large. In this thesis a new way of easing the computational task is introduced by a novel method, that combines a guessing algorithm and molecular dynamics simulations. The algorithm produces possible structures by utilising existing structures of known clusters, and molecular dynamics are used to compute the dynamics and interactions in the structures to differentiate between a good guess and a bad one with lower computational cost. This method was utilised in this thesis on gold nanocluster Au683MBA32. Three models were generated using the algorithm with the help of the information gained in previous research (Pablo D. Jadzinsky et al. Science, 318 (5849):430–433, 2007 and Azubel et al. Science, 345(6199):909–912, 2014). The structures were simulated in a custom made GROMACS force-field (Pohjolainen et al. Journal of Chemical Theory and Computation, 12(3):1342-1350, 2016) for 50 ns in NPT conditions. The resulting trajectories were examined for indicators of internal stability and compared with experimental results. Uudenlaisten kultananopartikkelien ja -klusterien syntetisointi on usein helpompaa kuin niiden karakterisointi, ja useiden kokeellisten analyysien jälkeen mahdollisia molekyylikaavoja voi edelleen olla useita. Näitä vaihtoehtoja voidaan tutkia kvanttimekaanisten laskennallisten keinojen avulla, kuten käyttäen tiheysfunktionaaliteoriaa, mutta mikäli vaihtoehtoja on useita voi tulosten saaminen vaatia hyvin paljon aikaa ja vaivaa. Tämä johtuu siitä, että tiheysfunktionaaliteorian metodit sisältävät systeemin elektronien väliset vuorovaikutukset täsmällisesti, mikä vaatii paljon laskentatehoa ja -aikaa. Tässä tutkielmassa esitellään uusi keino tutkia klusterien rakennetta pienemmällä laskennallisella vaivalla. Tämä metodi yhdistää algoritmin, joka arvaa mahdollisia rakenteita uusille klustereille olemassa olevien rakenteiden perusteella, ja molekyylidynamiikkasimulaatiot, joiden avulla pyritään erottamaan algoritmin antamat hyvät arvaukset huonoista. Tätä metodia on tässä tutkielmassa käytetty Au683MBA32 kultananoklusterin pintarakenteen etsimiseen ja arviointiin. Kolme erilaista rakennetta luotiin algoritmin avulla aikaisemmissa tutkimuksissa (Pablo D. Jadzinsky et al. Science, 318 (5849):430–433, 2007 ja Azubel et al. Science, 345(6199):909–912, 2014) saatujen tietojen perusteella. Näitä rakenteita simuloitiin sitten tarkoitusta varten räätälöidyssä GROMACS voimakentässä (Pohjolainen et al. Journal of Chemical Theory and Computation, 12(3):1342-1350, 2016) 50 nanosekunnin ajan NPT olosuhteissa. Simulaatioiden tuloksena saaduista liikeradoista etsittiin sisäisestä stabiiliudesta kertovia tekijöitä, ja saatuja tuloksia verrattiin kokeellisten menetelmien avulla saatuihin tuloksiin.
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These options\r\nmay be investigated by quantum computational means, such as density functional\r\ntheory, but since DFT includes the electronic interactions, this might take time\r\nand excessive effort if the amount of options is large. In this thesis a new way of\r\neasing the computational task is introduced by a novel method, that combines a\r\nguessing algorithm and molecular dynamics simulations. The algorithm produces\r\npossible structures by utilising existing structures of known clusters, and molecular\r\ndynamics are used to compute the dynamics and interactions in the structures to\r\ndifferentiate between a good guess and a bad one with lower computational cost.\r\nThis method was utilised in this thesis on gold nanocluster Au683MBA32. Three\r\nmodels were generated using the algorithm with the help of the information gained in\r\nprevious research (Pablo D. Jadzinsky et al. Science, 318 (5849):430\u2013433, 2007 and\r\nAzubel et al. 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spellingShingle Lautala, Saara Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations kultananoklusteri kultananopartikkeli gold nanocluster gold nanoparticle surface structure ligand layer molecular dynamics interactions Fysiikka Physics 4021 4033 nanohiukkaset kulta pintarakenteet vuorovaikutus molekyylidynamiikka
title Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
title_full Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
title_fullStr Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
title_full_unstemmed Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
title_short Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
title_sort elucidating the ligand shell structure and dynamics of au683mba32 gold nanocluster using molecular dynamics simulations
title_txtP Elucidating the ligand shell structure and dynamics of Au683MBA32 gold nanocluster using molecular dynamics simulations
topic kultananoklusteri kultananopartikkeli gold nanocluster gold nanoparticle surface structure ligand layer molecular dynamics interactions Fysiikka Physics 4021 4033 nanohiukkaset kulta pintarakenteet vuorovaikutus molekyylidynamiikka
topic_facet 4021 4033 Fysiikka Physics gold nanocluster gold nanoparticle interactions kulta kultananoklusteri kultananopartikkeli ligand layer molecular dynamics molekyylidynamiikka nanohiukkaset pintarakenteet surface structure vuorovaikutus
url https://jyx.jyu.fi/handle/123456789/55260 http://www.urn.fi/URN:NBN:fi:jyu-201709043650
work_keys_str_mv AT lautalasaara elucidatingtheligandshellstructureanddynamicsofau683mba32goldnanoclusterusingmolecu