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Les Houches Lectures on Flow Networks in Biology

by Swarnavo Basu, Karen Alim

This Submission thread is now published as

Submission summary

Authors (as registered SciPost users): Karen Alim
Submission information
Preprint Link: scipost_202508_00076v1  (pdf)
Date accepted: Sept. 23, 2025
Date submitted: Aug. 30, 2025, 3:52 p.m.
Submitted by: Karen Alim
Submitted to: SciPost Physics Lecture Notes
 for consideration in Collection:
Ontological classification
Academic field: Physics
Specialties:
  • Biophysics
  • Fluid Dynamics
  • Statistical and Soft Matter Physics
Approach: Theoretical

Abstract

Flows are essential to transport resources over large distances. As soon as diffusion becomes time-limiting, flows are needed. Flows are key for the function of multiple human organs, from the blood vasculature to the lungs, the digestive tract, the lymphatic system, and many more. While physics governs the flow dynamics, biology's response to flows governs the flow network architecture. We start with the fluid physics of Stokes flow, the prerequisite to describe the flows in biological flow networks. Then we explore how the network adaptation dynamics of biological flow networks reorganize network architecture to minimize flow dissipation or homogenize transport, storing memories of past flows along the way.

Published as SciPost Phys. Lect. Notes 101 (2025)


Reports on this Submission

Report #2 by Anonymous (Referee 2) on 2025-9-2 (Invited Report)

Strengths

Excellent review and very pedagogical review of flows and flow networks in biology. It starts with a primer from the necessary fluid mechanics and then links it to growth and network optimization, with applications in leaf networks.

Report

Excellent lecture notes.

Recommendation

Publish (surpasses expectations and criteria for this Journal; among top 10%)

  • validity: -
  • significance: -
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Report #1 by Thierry Mora (Referee 1) on 2025-9-2 (Invited Report)

Strengths

These lectures notes are a comprehensive account of the field on flow networks on biology.

  • good self-contained, pedagogical introduction to Navier-Stock, Poiseuille flows and Kirchhoff law for networks, and Murray's law of energy minimization
  • excellent review of work on learning and memory, and on network optimization for transportation in leaf networks.
  • clear mathematical derivations throughout

Weaknesses

no identified weaknesses

Report

The lecture notes follow closely the lecture that was given, with all mathematical details, explanations, and figures. It is an excellent summary of the field.

Recommendation

Publish (surpasses expectations and criteria for this Journal; among top 10%)

  • validity: -
  • significance: -
  • originality: -
  • clarity: -
  • formatting: -
  • grammar: -

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