Automating Blueprints for Colloidal Quasicrystal Assembly

[2407.19968] Automating Blueprints for Colloidal Quasicrystal Assembly Skip to main content Search Submit Donate Log in Condensed Matter > Soft Condensed Matter arXiv:2407.19968 (cond-mat) [Submitted on 29 Jul 2024] Title: Automating Blueprints for Colloidal Quasicrystal Assembly Authors: Diogo E. P. Pinto , Petr Šulc , Francesco Sciortino , John Russo View PDF HTML (experimental) Abstract: One of the frontiers of nanotechnology is advancing beyond the periodic self-assembly of materials. Icosahedral quasicrystals, aperiodic in all directions, represent one of the most challenging targets that have yet to be experimentally realized at the colloidal scale. Previous attempts have required meticulous human-designed building blocks and often resulted in interactions beyond current experimental capabilities. In this work, we introduce a framework for generating experimentally accessible designs that self-assemble into quasicrystalline arrangements. We present a design for icosahedral DNA-origami building blocks and demonstrate, through molecular simulations, their successful assembly into the target quasicrystalline structure. Our results highlight the feasibility of using automated design protocols to achieve complex quasicrystalline patterns, paving the way for new applications in material science and nanotechnology. Subjects: Soft Condensed Matter (cond-mat.soft) Cite as: arXiv:2407.19968 [cond-mat.soft] (or arXiv:2407.19968v1 [cond-mat.soft] for this version) https://doi.org/10.48550/arXiv.2407.19968 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1021/acsnano.4c10434 Focus to learn more DOI(s) linking to related resources Submission history From: Diogo Estevao Pereira Pinto [ view email ] [v1] Mon, 29 Jul 2024 13:00:37 UTC (24,466 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: cond-mat.soft < prev | next > new | recent | 2024-07 Change to browse by: cond-mat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

Related documents

• Automating Blueprints for Colloidal Quasicrystal Assembly#682400
• 3D cellular automata of polymer structural response to solvent quality / Vasilii Korotenko, Irina Smirnova, Pavel Gurikov#1132703
• <i>Phaser</i>crystallographic software#6368
• Snapshots of Internal Protein Crystal Architecture at the Nanoscale#484971
• Reproducible capillary fluctuation analysis of solid-liquid interfaces for stiffness and anisotropy calculations#927588