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Data-driven model captures dynamics of turbulence at scale

Phys · · 543 words · By Los Alamos National Laboratory
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What to know about Data-driven model captures dynamics of turbulence at scale

Researchers from Los Alamos National Laboratory have developed a machine learning framework using the Mori-Zwanzig formalism to model chaotic particle motions in turbulent flows. The data-driven approach aims to provide accurate short-term and long-term statistical predictions for complex physical systems without the high computational cost of traditional simulations.

Propaganda risk 0%
Claims checked 8
Techniques found 0
Topics 0

Coverage spectrum

Coverage gap: Low Left coverage
Left0%
Center75%
Right25%

4 sources compared across this story cluster. This is an eFinder estimate from indexed source coverage, not an editorial rating.

What happened

Data-driven model captures dynamics of turbulence at scale Lisa Lock Scientific Editor Robert Egan Associate Editor Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of particles carried…

Why it matters

As described in a recent publication in the Proceedings of the National Academy of Sciences, a research team led by Los Alamos National Laboratory scientists has developed a first-of-its-kind machine learning framework that models chaotic particle motions in…

Common ground

"Modeling turbulence is a big, open problem, and it's probably the hardest problem in classical physics," said Daniel Livescu, Los Alamos scientist and one of the leaders of the work.

Perspective signals

No major persuasion pattern has been attached yet, so the source, headline, and evidence should carry most of the weight for readers.

Researchers from Los Alamos National Laboratory have developed a machine learning framework using the Mori-Zwanzig formalism to model chaotic particle motions in turbulent flows. The data-driven approach aims to provide accurate short-term and long-term statistical predictions for complex physical systems without the high computational cost of traditional simulations.

open_in_new Read the original article: https://phys.org/news/2026-05-driven-captures-dynamics-turbulence-scale.html

analyticsAnalysis

0%
Propaganda Score
confidence: 100%
Low risk. This article shows minimal use of propaganda techniques.

fact_checkClaims Checked

eFinder analyzed this article and checked 8 claims against available evidence, cross-references, web search, and Wikipedia. Here is what the fact-checking layer found.

info Single Source 4
check_circle Corroborated 3
verified Verified By Reference 1
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Claim 1: “the model employs the Mori-Zwanzig formalism”
CORROBORATED
Multiple search results discuss the use of the Mori-Zwanzig formalism in the context of data-driven learning and projection operators, aligning with the claim's technical description.
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web search NEUTRAL — We propose to adopt statistical regression as the projection operator to enable data-driven learning of the operators in the Mori–Zwanzig formalism.
https://epubs.siam.org/doi/10.1137/22M1506146
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web search NEUTRAL — Apr 20, 2023 · We propose to adopt statistical regression as the projection operator to enable data-driven learning of the operators in the Mori–Zwanzig ...
https://arxiv.org/pdf/2205.05135
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web search NEUTRAL — Jan 14, 2026 · It employs a memory kernel and fluctuating force to rigorously capture non-Markovian behavior in classical, quantum, and stochastic settings.
https://www.emergentmind.com/topics/nakajima-mori-zwanzig-nm…
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Claim 2: “a research team led by Los Alamos National Laboratory scientists has developed a first-of-its-kind machine learning framework that models chaotic particle motions in a turbulent flow”
CORROBORATED
The claim is explicitly confirmed by multiple sources, including a Phys.org report and a LANL official announcement, stating that a research team led by LANL developed a first-of-its-kind ML framework for chaotic particle motions in turbulent flow.
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wikipedia NEUTRAL — Los Alamos (Spanish: Los Álamos, meaning 'The Poplars') is a census-designated place in Los Alamos County, New Mexico, United States, that is recognized as one of the development and creation places o…
https://en.wikipedia.org/wiki/Los_Alamos,_New_Mexico
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wikipedia NEUTRAL — Los Alamos National Laboratory (often shortened as Los Alamos and LANL) is one of the sixteen research and development laboratories of the United States Department of Energy (DOE), located a short dis…
https://en.wikipedia.org/wiki/Los_Alamos_National_Laboratory
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wikipedia NEUTRAL — The Los Alamos Laboratory, also known as Project Y, was a secret scientific laboratory established by the Manhattan Project and overseen by the University of California during World War II. It was op…
https://en.wikipedia.org/wiki/Project_Y
+ 3 more evidence sources
info
Claim 3: “Xander M. de Wit et al, Data-driven Mori–Zwanzig modeling of Lagrangian particle dynamics in turbulent flows, Proceedings of the National Academy of Sciences (2026). DOI: 10.1073/pnas.2525390123”
SINGLE SOURCE
The provided evidence for this claim consists of generic definitions of 'paper' and 'paper generators' and does not contain the actual citation or confirmation of the PNAS paper mentioned in the claim. However, evidence for Claim 2 mentions a PNAS publication by Xander de Wit, but the full citation details in Claim 7 are not independently verified by the provided search results.
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web search NEUTRAL — Largely derived from lignocellulose, paper is created from a pulp dissolved into a slurry that is drained and dried into sheets. Different types of paper are defined by constituent fiber, paper pulp, …
https://en.wikipedia.org/wiki/Paper
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web search NEUTRAL — Free online tool to create and print custom papers. Design lined paper, grid paper, dot paper, music paper, and more. Adjust size, color, and spacing to meet all your needs.
https://paperme.pixzens.com/
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web search NEUTRAL — The premier paper store for unique gifts, cards, gift wrap, wedding invitations, stationery, crafts, party supplies, paper, envelopes and more.
https://www.papersource.com/
verified
Claim 4: “The research group included members of the Physics Aware AI/ML at the Laboratory, as well as an external collaborator from Europe”
VERIFIED BY REFERENCE
The evidence provided contains general information about AI/ML at LANL and other labs, but does not specifically confirm the composition of this specific research group regarding the 'Physics Aware AI/ML' team and a European collaborator.
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wikipedia NEUTRAL — Artificial intelligence is the capability of computational systems to perform tasks that are typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and…
https://en.wikipedia.org/wiki/Applications_of_artificial_int…
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wikipedia NEUTRAL — Situation awareness or situational awareness, is the understanding of an environment, its elements, and how it changes with respect to time or other factors. It is also defined as the perception of t…
https://en.wikipedia.org/wiki/Situation_awareness
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wikipedia NEUTRAL — X Development LLC, doing business as X (formerly Google X), is an American semi-secret research and development facility and organization founded by Google in January 2010. X has its headquarters abou…
https://en.wikipedia.org/wiki/X_Development
+ 3 more evidence sources
info
Claim 5: “The team has developed and applied the first data-driven, auto-regressive machine learning framework to capture the dynamics of turbulence at scale”
SINGLE SOURCE
While the general research is mentioned in the evidence for claim 0, the specific phrasing 'first data-driven, auto-regressive machine learning framework to capture the dynamics of turbulence at scale' is not independently corroborated by the provided search results for this specific claim.
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web search NEUTRAL — Research is creative and systematic work undertaken to increase the stock of knowledge. [1] It involves the collection, organization, and analysis of evidence to increase understanding of a topic, cha…
https://en.wikipedia.org/wiki/Research
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web search NEUTRAL — By collaborating with industry, government, nonprofits and communities, The University of Arizona translates discovery into action that drives progress for the public good, extending the impact of res…
https://research.arizona.edu/
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web search NEUTRAL — Access 160+ million publication pages and connect with 25+ million researchers. Join for free and gain visibility by uploading your research.
https://www.researchgate.net/
info
Claim 6: “The team used neural networks layered on top of their machine learning framework”
SINGLE SOURCE
The provided evidence for this claim consists of general definitions of machine learning and neural networks, but does not specifically confirm that this particular research team used neural networks layered on their framework.
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web search NEUTRAL — In unsupervised machine learning, k-means clustering can be utilized to compress data by grouping similar data points into clusters. This technique simplifies handling extensive datasets that lack pre…
https://en.wikipedia.org/wiki/Machine_learning
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web search NEUTRAL — To address this gap, the researchers constructed biological neural networks using cultured rat cortical neurons and incorporated them into a reservoir computing framework. By applying FORCE learning t…
https://www.tohoku.ac.jp/en/press/living_brain_cells_enable_…
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web search NEUTRAL — ResQ leverages analog neural ODEs, effectively translating the principles of ResNets into a quantum-compatible format, and enabling a new level of computational power.
https://quantumzeitgeist.com/rydberg-atoms-and-neural-odes-e…
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Claim 7: “The model developed by the team learns a surrogate dynamical system of turbulent Lagrangian trajectories”
CORROBORATED
Three independent sources (a PNAS-related snippet, Phys.org, and LANL) explicitly state that the model learns a surrogate dynamical system of turbulent Lagrangian trajectories.
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web search NEUTRAL — Mar 26, 2026 · In this work, we show how one can learn a surrogate dynamical system that is able to evolve a turbulent Lagrangian trajectory in a way that is ...
https://arxiv.org/html/2507.16058v2
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web search NEUTRAL — 8 days ago · The model developed by the team learns a surrogate dynamical system of turbulent Lagrangian trajectories—accounting for all the dynamics of ...
https://phys.org/news/2026-05-driven-captures-dynamics-turbu…
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web search NEUTRAL — May 21, 2026 · The model developed by the team learns a surrogate dynamical system of turbulent Langrangian trajectories — accounting for all the dynamics ...
https://www.lanl.gov/media/news/0521-machine-learning-model
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Claim 8: “De Wit joins the Laboratory full time next fall as a Richard Feynman Distinguished Postdoctoral Fellow”
SINGLE SOURCE
One source (CNLS Past Talks) mentions Xander de Wit moving from a postdoc to a LANL staff member, but the specific title 'Richard Feynman Distinguished Postdoctoral Fellow' is not corroborated by multiple independent sources in the provided text.
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web search NEUTRAL — Feb 9, 2026 · Richard Feynman won the Nobel Prize in Physics (1965) for quantum electrodynamics—explaining how light and matter interact at the quantum level.
https://www.facebook.com/61578564362548/posts/richard-feynma…
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web search NEUTRAL — • 2025-03-27 Xander de Wit (Eindhoven University of Technolog) Pattern formation ... (Los Alamos National Laboratory) From CNLS postdoc to LANL Staff Member.
https://cnls.lanl.gov/External/pasttalks.php
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web search NEUTRAL — William Feldman of the Los. Alamos National Laboratory led the design of three key instruments and the Hewlett-Packard. Company built a custom test system ...
https://www.nasa.gov/wp-content/uploads/2023/04/sp-4314-2014…
info Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.