Tuning Colloidal Reactions
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866908357905874944 |
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| author | Krueger, Ryan King, Ella Brenner, Michael |
| author_facet | Krueger, Ryan King, Ella Brenner, Michael |
| contents | The precise control of complex reactions is critical for biological processes yet our inability to design for specific outcomes limits the development of synthetic analogues. Here, we leverage differentiable simulators to design nontrivial reaction pathways in colloidal assemblies. By optimizing over external structures, we achieve controlled disassembly and particle release from colloidal shells. Lastly, we characterize the role of configurational entropy in the structure via both forward calculations and optimization, inspiring new parameterizations of designed colloidal reactions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_07798 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Tuning Colloidal Reactions Krueger, Ryan King, Ella Brenner, Michael Soft Condensed Matter Materials Science Statistical Mechanics Biological Physics Computational Physics The precise control of complex reactions is critical for biological processes yet our inability to design for specific outcomes limits the development of synthetic analogues. Here, we leverage differentiable simulators to design nontrivial reaction pathways in colloidal assemblies. By optimizing over external structures, we achieve controlled disassembly and particle release from colloidal shells. Lastly, we characterize the role of configurational entropy in the structure via both forward calculations and optimization, inspiring new parameterizations of designed colloidal reactions. |
| title | Tuning Colloidal Reactions |
| topic | Soft Condensed Matter Materials Science Statistical Mechanics Biological Physics Computational Physics |
| url | https://arxiv.org/abs/2312.07798 |