Life at low Reynolds number isn't such a drag
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914996710014976 |
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| author | Datta, Sujit S. |
| author_facet | Datta, Sujit S. |
| contents | The following is an unedited version of two short articles that are forthcoming in Nature Chemical Engineering. Inspired by Purcell's classic lecture "Life at low Reynolds number", I discuss how scaling arguments, dimensional analysis, and fundamental concepts from chemical engineering science can be used to quantitatively describe microbial swimming -- thereby helping to better understand biological systems and inspiring new engineering advances in turn. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_20648 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Life at low Reynolds number isn't such a drag Datta, Sujit S. Biological Physics Soft Condensed Matter Statistical Mechanics Cell Behavior Populations and Evolution The following is an unedited version of two short articles that are forthcoming in Nature Chemical Engineering. Inspired by Purcell's classic lecture "Life at low Reynolds number", I discuss how scaling arguments, dimensional analysis, and fundamental concepts from chemical engineering science can be used to quantitatively describe microbial swimming -- thereby helping to better understand biological systems and inspiring new engineering advances in turn. |
| title | Life at low Reynolds number isn't such a drag |
| topic | Biological Physics Soft Condensed Matter Statistical Mechanics Cell Behavior Populations and Evolution |
| url | https://arxiv.org/abs/2410.20648 |