{"title":"非平衡驱动下斑块颗粒的耗散自组装:计算研究","authors":"Shubhadeep Nag, Gili Bisker","doi":"arxiv-2409.04748","DOIUrl":null,"url":null,"abstract":"Inspired by biology and implemented using nanotechnology, the self-assembly\nof patchy particles has emerged as a pivotal mechanism for constructing complex\nstructures that mimic natural systems with diverse functionalities. Here, we\nexplore the dissipative self-assembly of patchy particles under nonequilibrium\nconditions, with the aim of overcoming the constraints imposed by equilibrium\nassembly. Utilizing extensive Monte Carlo (MC) and Molecular Dynamics (MD)\nsimulations, we provide insight into the effects of external forces that mirror\nnatural and chemical processes on the assembly rates and the stability of the\nresulting assemblies comprising $8$, $10$, and $13$ patchy particles.\nImplemented by a favorable bond-promoting drive in MC or a pulsed square wave\npotential in MD, our simulations reveal the role these external drives play in\naccelerating assembly kinetics and enhancing structural stability, evidenced by\na decrease in the time to first assembly and an increase in the duration the\nsystem remains in an assembled state. Through the analysis of an order\nparameter, entropy production, bond dynamics, and interparticle forces, we\nunravel the underlying mechanisms driving these advancements. We also validated\nour key findings by simulating a larger system of $100$ patchy particles. Our\ncomprehensive results not only shed light on the impact of external stimuli on\nself-assembly processes but also open a promising pathway for expanding the\napplication by leveraging patchy particles for novel nanostructures.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dissipative self-assembly of patchy particles under nonequilibrium drive: a computational study\",\"authors\":\"Shubhadeep Nag, Gili Bisker\",\"doi\":\"arxiv-2409.04748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inspired by biology and implemented using nanotechnology, the self-assembly\\nof patchy particles has emerged as a pivotal mechanism for constructing complex\\nstructures that mimic natural systems with diverse functionalities. Here, we\\nexplore the dissipative self-assembly of patchy particles under nonequilibrium\\nconditions, with the aim of overcoming the constraints imposed by equilibrium\\nassembly. Utilizing extensive Monte Carlo (MC) and Molecular Dynamics (MD)\\nsimulations, we provide insight into the effects of external forces that mirror\\nnatural and chemical processes on the assembly rates and the stability of the\\nresulting assemblies comprising $8$, $10$, and $13$ patchy particles.\\nImplemented by a favorable bond-promoting drive in MC or a pulsed square wave\\npotential in MD, our simulations reveal the role these external drives play in\\naccelerating assembly kinetics and enhancing structural stability, evidenced by\\na decrease in the time to first assembly and an increase in the duration the\\nsystem remains in an assembled state. Through the analysis of an order\\nparameter, entropy production, bond dynamics, and interparticle forces, we\\nunravel the underlying mechanisms driving these advancements. We also validated\\nour key findings by simulating a larger system of $100$ patchy particles. Our\\ncomprehensive results not only shed light on the impact of external stimuli on\\nself-assembly processes but also open a promising pathway for expanding the\\napplication by leveraging patchy particles for novel nanostructures.\",\"PeriodicalId\":501369,\"journal\":{\"name\":\"arXiv - PHYS - Computational Physics\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Computational Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.04748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dissipative self-assembly of patchy particles under nonequilibrium drive: a computational study
Inspired by biology and implemented using nanotechnology, the self-assembly
of patchy particles has emerged as a pivotal mechanism for constructing complex
structures that mimic natural systems with diverse functionalities. Here, we
explore the dissipative self-assembly of patchy particles under nonequilibrium
conditions, with the aim of overcoming the constraints imposed by equilibrium
assembly. Utilizing extensive Monte Carlo (MC) and Molecular Dynamics (MD)
simulations, we provide insight into the effects of external forces that mirror
natural and chemical processes on the assembly rates and the stability of the
resulting assemblies comprising $8$, $10$, and $13$ patchy particles.
Implemented by a favorable bond-promoting drive in MC or a pulsed square wave
potential in MD, our simulations reveal the role these external drives play in
accelerating assembly kinetics and enhancing structural stability, evidenced by
a decrease in the time to first assembly and an increase in the duration the
system remains in an assembled state. Through the analysis of an order
parameter, entropy production, bond dynamics, and interparticle forces, we
unravel the underlying mechanisms driving these advancements. We also validated
our key findings by simulating a larger system of $100$ patchy particles. Our
comprehensive results not only shed light on the impact of external stimuli on
self-assembly processes but also open a promising pathway for expanding the
application by leveraging patchy particles for novel nanostructures.