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vault backup: 2024-09-04 14:54:08

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Dane Sabo 2024-09-04 14:54:08 -04:00
parent dd3338f6f2
commit be11ffb6de
3 changed files with 46 additions and 11 deletions
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10
.obsidian/workspace.json vendored
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@ -140,7 +140,7 @@
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@ -157,7 +157,7 @@
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@ -180,7 +180,7 @@
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@ -219,10 +219,10 @@
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11
1000s Templates/Literature Note.md
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@ -73,12 +73,13 @@ Note
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36
200. Library Papers/liSyntheticLagrangianTurbulence2024.md
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@ -56,6 +56,40 @@ pages: 393-403
%% begin annotations %%
### Imported: 2024-09-04 2:49 pm
<mark style="background-color: #ff6666">Quote</mark>
> agrangian turbulence lies at the core of numerous applied and fundamental problems related to the physics of dispersion and mixing in engineering, biofluids, the atmosphere, oceans and astrophysics. Despite exceptional theoretical, numerical and experimental efforts conducted over the past 30 years, no existing models are capable of faithfully reproducing statistical and topological properties exhibited by particle tr
<mark style="background-color: #e56eee">Quote</mark>
> me scales, including the fat-tail distribution for velocity increments, the anomalous power law and the increased intermittency around the dissipative scale. Slight deviations are observed below the dissipative scale, particularly in the acceleration and flatness statistics. Surprisingly, the model exhibits strong generalizability for ext
<mark style="background-color: #ffd400">Quote</mark>
> stion, industrial mixing, pollutant dispersion, quantum fluids, protoplanetary disks accretion, cloud formation
%% end annotations %%
%% Import Date: 2024-09-04T14:46:34.638-04:00 %%
### Imported: 2024-09-04 2:52 pm
%% Import Date: 2024-09-04T14:52:08.089-04:00 %%