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Bachelor thesis

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cc-by-nc-nd (c) Gaya, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/194267

Quantifying the colloidal gelation transition using image compression

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We use file compression techniques to characterize colloidal gelation. The colloidal system is built through a diffusion-limited aggregation simulation, and at the gelation point, the growing dynamics are changed to emulate the transition. We compress images of the system before and after the gelation point. Using the computable information density (CID) we have been able to ascribe a second-order character to the transition.

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022-2023, Tutors: Alberto Fernández-Nieves, Ramon Planet

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GAYA ÀVILA, Aina. Quantifying the colloidal gelation transition using image compression. [consulted: 18 of October of 2026]. Available at: https://hdl.handle.net/2445/194267

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