Evidence map›Paper›PMID 42618782›Full record

ArticleNature2026

The HydroGym reinforcement learning platform for fluid dynamics.

Christian Lagemann, Sajeda Mokbel, Miro Gondrum, Mario Rüttgers, Yuning Wang, Pol Suárez, Ludger Paehler, Deniz A Bezgin, Aaron B Buhendwa, Jared L Callaham and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Christian LagemannDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA. christian.lagemann@rwth-aachen.de.ORCID http://orcid.org/0000-0003-1150-4987
Sajeda MokbelDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Miro GondrumChair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-2796-6644
Mario RüttgersData-Driven Fluid Engineering Laboratory, Inha University, Incheon, South Korea.ORCID http://orcid.org/0000-0003-3917-8407
Yuning WangDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0009-0009-9964-7595
Pol SuárezFLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
Ludger PaehlerSchool of Engineering and Design, Technical University of Munich, Munich, Germany.
Deniz A BezginSchool of Engineering and Design, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-5299-3102
Aaron B BuhendwaSchool of Engineering and Design, Technical University of Munich, Munich, Germany.
Jared L CallahamDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Samuel AhnertDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0009-0004-5063-4455
Nicholas ZolmanDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Xiao ShaoChair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0009-0006-7346-7084
Jean-Christophe LoiseauArts et Métiers Institute of Technology, CNAM, DynFluid, HESAM Université, Paris, France.ORCID http://orcid.org/0000-0002-7244-8416
Nikolaus A AdamsSchool of Engineering and Design, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-5048-8639
Matthias MeinkeChair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Aachen, Germany.
Wolfgang SchröderChair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-3472-1813
Kai LagemannMediaTek Research, London, UK.
Esther LagemannDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3694-3129
Ricardo VinuesaDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA. rvinuesa@umich.edu.ORCID http://orcid.org/0000-0001-6570-5499
Steven L BruntonDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA. sbrunton@uw.edu.ORCID http://orcid.org/0000-0002-6565-5118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective control of fluid flows is critical across transportation, energy and medicine, where it can increase lift, reduce drag, enhance mixing and attenuate noise

Indexed as

HydrodynamicsProtein ConformationReinforcement Machine LearningProteinsProteins

Identifiers

PMID42618782
PMCPMC13558066

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.