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Train small, model big: Scalable physics simulators via reduced order modeling and domain decomposition

Overview of attention for article published in Computer Methods in Applied Mechanics & Engineering, July 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users

Readers on

mendeley
3 Mendeley
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Title
Train small, model big: Scalable physics simulators via reduced order modeling and domain decomposition
Published in
Computer Methods in Applied Mechanics & Engineering, July 2024
DOI 10.1016/j.cma.2024.117041
Authors

Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Professor 1 33%
Readers by discipline Count As %
Physics and Astronomy 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 May 2024.
All research outputs
#16,560,724
of 26,123,112 outputs
Outputs from Computer Methods in Applied Mechanics & Engineering
#783
of 1,851 outputs
Outputs of similar age
#33,902
of 82,864 outputs
Outputs of similar age from Computer Methods in Applied Mechanics & Engineering
#4
of 16 outputs
Altmetric has tracked 26,123,112 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,851 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 82,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.