15 Oct 2025
📢 #SpecialIssue
Structural Health Monitoring and Seismic Response Estimation
đź“… 30 June 2026
👨‍🔬 Guest Editor:
Dr. Chanseok Jeong from Central Michigan University, Mount Pleasant, USA
🔗mdpi.com/journal/applsci/spe…
#structuralhealthmonitoring
#seismic #geomaterials
#artificialintelligence
#inversemodeling
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Machine-Learned Inference of Fracture Flowrate from Temperature Logs
dl.begellhouse.com/journals/…
#MachineLearning #Geoscience #InverseModeling #GeothermalEnergy
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1 Mar 2025
Machine-Learned Inference of Fracture Flowrate from Temperature Logs
dl.begellhouse.com/journals/…
#MachineLearning #Geoscience #InverseModeling #GeothermalEnergy
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16 Dec 2024
🔥 Read our Paper
📚 A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy
đź”— mdpi.com/2076-3417/14/4/1603
👨‍🔬 by Giampaolo D’Alessandro et al.
#infraredthermalimaging #inversemodeling
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Scientists from @FudanUni estimated yearly #NitrogenTrifluoride (NF3) emissions from the Chinese mainland between 2017 and 2021, utilizing data from nine Chinese sites and a #InverseModeling approach. #GreenHouseGas #AirQuality
ES&T Letters: go.acs.org/aXJ
ALT TOC image from the article
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A research team from @FudanUni @ZJU_China @MITGlobalChange @MIT @PKU1898 used #InverseModeling and flask and in situ measurements of #HCFC22 and HCFC-142b to determine the emission magnitude and changes in China during 2018–2021.
Read more in ES&T: go.acs.org/aiv
ALT TOC image from the article
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From the cover of ES&T: An #InverseModeling approach combining atmospheric concentrations with a-priori emissions extracted from total depositions provides insights into the transport of #137Cs during the Fukushima accident. @Tsinghua_Uni
Read: go.acs.org/afh
ALT TOC image from the article
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1,864
31 Oct 2023
📢 #SpecialIssue
Soil Hydraulic Properties Characterization for Improving Water Availability
đź“… 20 April 2024
🔗 mdpi.com/journal/applsci/spe…
#soilhydrology #soilhydraulics #hydrology #WaterAvailability #inversemodeling #soilphysicalquality #wateruseefficiency
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17 Oct 2023
#Stratocumulus clouds play a major role in Earth’s energy budget. In SIAM News Online, Rebecca Gjini utilizes #InverseModeling to build bridges between two very different #mathematical models of stratocumulus clouds. Check it out! sinews.siam.org/Details-Page…
ALT A satellite image of stratocumulus clouds and a contour plot of cloud depth in a large eddy simulation. In both images, white regions represent thick, puffy clouds and dark regions represent the absence of clouds.
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5 Sep 2023
Did you check our new paper published last week where we estimated #Amazonia #carbon emissions?
#Amazon #carbondioxide #inversemodeling #TropicalForests #GreenhouseGases
1 Sep 2023
I'm happy to share that our new paper is out. We estimate #Amazonia #carbon emissions using atmospheric global inverse modeling and assimilating global and regional observations between 2010 and 2018
acp.copernicus.org/articles/…
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17 Mar 2023
#NextatBIRS Mathematical Approaches of Atmospheric Constituents Data Assimilation and Inverse Modeling, March 19 - 24, 2023
birs.ca/events/2023/5-day-wo…
#EnvironmentalSciences #DataAssimilation #InverseModeling #NumericalMath #Statistics #EarthScience #GreenhouseGases
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