Author: WeWorldMedia-admin

World Earthquake Report for Tuesday, 20 May 2025

Published: 20 May 2025
Categories: Global Earthquake Activity

RSS feed source: Volcano Discovery.com--Global earthquake monitor

Tue, 20 May 2025, 16:20 | BY: EARTHQUAKEMONITOR

Worldwide earthquakes above magnitude 3 during the past 24 hours on 20 May 2025

Summary: 1 quake 6.0+, 3 quakes 5.0+, 30 quakes 4.0+, 122 quakes 3.0+, 286 quakes 2.0+ (442 total)
This report is being updated every hour.
Magnitude 6+: 1 earthquake
Magnitude 5+: 3 earthquakes
Magnitude 4+: 30 earthquakes
Magnitude 3+: 122 earthquakes
Magnitude 2+: 286 earthquakes
No quakes of magnitude 7 or higherTotal seismic energy estimate: 2.9 x 1014 joules (79.3 gigawatt hours, equivalent to 68213 tons of TNT or 4.3 atomic bombs!) | equivalent to ONE quake of magnitude 6.4 learn more10 largest earthquakes in the world (past 24 hours)#1: Mag 6.4 Bismarck Sea, 39 km northwest of Volcano Island, Papua New GuineaWednesday, May 21, 2025, at 01:05 am (Port Moresby time) – #2: Mag 5.6 North Atlantic Ocean, PortugalTuesday, May 20, 2025, at 03:11 am (GMT -2) – #3: Mag 5.3 Indian Ocean, 363 km south of Yogyakarta, IndonesiaTuesday, May 20, 2025, at 04:36 am (GMT +7) – #4: Mag 5.2 Bay of Plenty, New ZealandTuesday, May 20, 2025, at 11:31 am (GMT +12) – #5: Mag 4.8 149 km southwest of Turpan, Xinjiang, ChinaTuesday, May 20, 2025, at 12:03 am (Urumqi time) – #6: Mag 4.7 South Pacific Ocean, FijiWednesday, May 21, 2025, at 01:53 am (GMT +13) – #7: Mag 4.7 Kabupaten Pegunungan Bintang, South Papua,

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Postdoctoral Reconstruction of pressure fields in flows REF.: 25PDR319

Published: 20 May 2025
Categories: Eng Jobs Academic Keys

RSS feed source: Volcano Discovery.com--Global earthquake monitor

Research theme area:
Fluid Mechanics, advanced image analysis, noise removal, pressure field reconstruction, and particle image velocimetry.

Abstract:
The candidate will collaborate with researchers from the FAPESP-Shell Research Centre for Greenhouse Gas Innovation of POLI-USP at the University of São Paulo. Summary of the program and projects can be found at the RCGI website (https://sites.usp.br/rcgi/).
The selected candidate will employ machine learning and other techniques based on the NavierStokes equations to perform flow analysis with a focus on noise removal and pressure field reconstruction. The candidate is expected to work with experimental and numerical data, especially from electrolyzer and fuel cell flows.

Description:
The applicant will contribute in line with the main objectives of the project:

Work with flows obtained by computational fluid dynamics simulation, synthetic images or experimentally. Use and/or develop computational algorithms (filters and/or neural networks) to remove noise from flow images. Develop computational algorithms

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