Evidence map›Paper›PMID 37723815›Full record

ArticlePhysical review. E2023

Wildebeest herds on rolling hills: Flocking on arbitrary curved surfaces.

Christina L Hueschen, Alexander R Dunn, Rob Phillips

Abstract read
In one paragraph

Article in Physical review. E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Aggregation-diffusion in heterogeneous environments.Journal of mathematical biology · 2025
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christina L HueschenDepartment of Chemical Engineering, Stanford University, Palo Alto, California 94305, USA.
Alexander R DunnDepartment of Chemical Engineering, Stanford University, Palo Alto, California 94305, USA.
Rob PhillipsDepartment of Physics, California Institute of Technology, Pasadena, California 91125, USA.

Funding

The Principles of Regulatory, Conformational and Evolutionary AdaptationR35GM118043 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROB PHILLIPS · 2016 to 2026
$7.9M
Molecular mechanisms underlying force transduction at cellular adhesion complexesR35GM130332 · NIGMS · STANFORD UNIVERSITY · PI Alexander R Dunn · 2019 to 2026
$4.9M
NIGMS NIH HHS R35 GM118043NIGMS NIH HHS R35 GM130332
6 · The paper itself

Abstract

The collective behavior of active agents, whether herds of wildebeest or microscopic actin filaments propelled by molecular motors, is an exciting frontier in biological and soft matter physics. Almost three decades ago, Toner and Tu developed a continuum theory of the collective action of flocks, or herds, that helped launch the modern field of active matter. One challenge faced when applying continuum active matter theories to living phenomena is the complex geometric structure of biological environments. Both macroscopic and microscopic herds move on asymmetric curved surfaces, like undulating grass plains or the surface layers of cells or embryos, which can render problems analytically intractable. In this paper, we present a formulation of the Toner-Tu flocking theory that uses the finite element method to solve the governing equations on arbitrary curved surfaces. First, we test the developed formalism and its numerical implementation in channel flow with scattering obstacles and on cylindrical and spherical surfaces, comparing our results to analytical solutions. We then progress to surfaces with arbitrary curvature, moving beyond previously accessible problems to explore herding behavior on a variety of landscapes. This approach allows the investigation of transients and dynamic solutions not revealed by analytic methods. It also enables versatile incorporation of new geometries and boundary conditions and efficient sweeps of parameter space. Looking forward, the paper presented here lays the groundwork for a dialogue between Toner-Tu theory and data on collective motion in biologically relevant geometries, from drone footage of migrating animal herds to movies of microscopic cytoskeletal flows within cells.

Indexed as

AntelopesActin CytoskeletonAnimalsCytoskeletonMotion

Identifiers

PMID37723815
PMCPMC11841697

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.