This contains the data used to draw Fig 7.

<div><p>We address the question of numerically simulating the coupling of diffusion, advection and one-speed linear transport, with a specific focus on managing geometrical complexity. We base our work on recent advances from the computer graphics community, which has developed Monte Car...

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Bibliographic Details
Main Author:	Loris Ibarrart (15195203) (author)
Other Authors:	Stéphane Blanco (135859) (author), Cyril Caliot (9502685) (author), Jérémi Dauchet (11172981) (author), Simon Eibner (15195194) (author), Mouna El Hafi (15195197) (author), Olivier Farges (830137) (author), Vincent Forest (14362869) (author), Richard Fournier (135857) (author), Jacques Gautrais (135854) (author), Raj Konduru (22239139) (author), Léa Penazzi (22239142) (author), Jean-Marc Trégan (22239145) (author), Thomas Vourc’h (11172990) (author), Daniel Yaacoub (15195248) (author)
Published:	2025
Subjects:	Biophysics Inorganic Chemistry Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified three physical phenomena porous medium involving physically realistic scenes computer graphics community already fully integrated video game industry facilitate engineering calculations managing geometrical complexity subpath represents one speed linear transport one subpath geometrical refinement geometric complexity engineering flexibility cinema industry transport paths linear transport xlink "> strictly independent specific focus single path scene description sampling monte resulting benefits remain unaffected recent advances pure linear numerically simulating numerical costs illustrated using getting insensitive computation time carlo algorithm
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This contains the data used to draw Fig 7.

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