@sgoswami26 profile picture
Somdatta Goswami @sgoswami26
Joined May 2022
  • Tweets 19
  • Following 35
  • Followers 34
6 Photos and videos
Somdatta Goswami retweeted
Ranjan Mukherjee@ranjanmukh21
13 Nov 2023
Excited to share our team's research on the MET receptor's role in Acetaminophen-induced liver injury at The Liver Meeting, AASLD in Boston today at 1 PM at level-1 Hall A- poster 4315. Looking forward to meaningful engagement with the fellow attendees. #aasld #TLM2023 #PLRC
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Somdatta Goswami retweeted
Pania Newell@PaniaNewell
17 Oct 2023
I am looking for 4 qualified PhD students in the various areas of mechanics and materials. Send your CV and one-page statement if you fit the requirements. @UUtah @UtahMech #mechanics @EPoromechanics @InterPoreTweets @AGU_GWHydro @FRC_IACM_Com @IACM_Community
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Somdatta Goswami retweeted
Ranjan Mukherjee@ranjanmukh21
17 Oct 2023
I am happy to present our team's work on the role of EGFR in drug induced liver injury at the University of Pittsburgh, Pittsburgh Liver Research Center retreat tomorrow at 5.00 PM. Looking forward to interact with the attendees. @PLRC_PittLiver #plrc #pittsburgh
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Somdatta Goswami retweeted
JHU Civil and Systems Engineering@JHUCaSE
11 Sep 2023
Exciting news for JHU CaSE and this research team led by @SURGroup aiming to advance scientific ML!
Johns Hopkins Engineering
@HopkinsEngineer
30 Aug 2023
An interdisciplinary team of Hopkins Engineers led by @JHUCaSE's Michael Shields has received a @doescience award to research scientific machine learning focused on greater predictive capabilities for scientific simulations. engineering.jhu.edu/news/fac…
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Somdatta Goswami retweeted
Kokokoko@kefanCS
12 Aug 2022
Replying to @argonne_lcf
@argonne_lcf Thanks a lot for this amazing two-week training project! I was so happy to be here, and I have definitely learned a lot of HPC techniques! Most importantly, I've met some wonderful people here! I feel very fortunate to have met you! @sgoswami26 @itshelenxu
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Somdatta Goswami retweeted
ALCF@argonne_lcf
12 Aug 2022
The 2022 @argonne Training Program on Extreme-Scale Computing comes to a close today. With its 10th year now in the books, nearly 700 participants have attended ATPESC to learn how to use the world's most powerful supercomputers for scientific research. extremecomputingtraining.anl…
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Somdatta Goswami retweeted
Sergio Iserte, PhD@siserte
12 Aug 2022
Friday and end of the 2-week training! #ATPESC #HPC
Congrats Sailer, You Made It To Friday!@FridaySailer
12 Aug 2022
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Somdatta Goswami retweeted
ALCF@argonne_lcf
4 Aug 2022
ATPESC is underway! Celebrating its 10th anniversary, the two-week training course provides researchers the opportunity to learn the latest supercomputing tools and techniques from some of the world's leading #HPC experts.
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Somdatta Goswami retweeted
arXiv Daily
@Arxiv_Daily
15 Jul 2022
Physics-Informed Neural Operators deepai.org/publication/physi… by @sgoswami26 et al. #NeuralNetwork #PartialDifferentialEquation
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Booking.com gave my husband and me a nightmare experience. I can now plainly discern a state of deterrence and deliberate harassment of travelers.
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tripadvisor.com/ShowTopic-g1… @bookingcom
My experience buying a used car in the USA (1/3) thetalkingsense.com/f/buying… #BuyUsedCar #Learn2Drive
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Somdatta Goswami retweeted
arXiv Daily
@Arxiv_Daily
12 May 2022
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms deepai.org/publication/neura… by @sgoswami26 et al. #ComputerScience #Learning

Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms

05/08/22 - Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta resulting from compromised wall composition, structure, and ...

deepai.org
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Consistency vs Intensity
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A robust monolithic solver for phase-field modeling of fracture. Check the work on: arxiv.org/abs/2111.10649 #isogeometricAnalysis #phasefield #brittlefracture
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Spring is sooner recognized by flora than by us! #SpringVibes #BrownUniversity
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Have you quantified over-parameterization in surrogate models? deepai.org/publication/on-th… @kontolati and I have presented a detailed quantification of the effect of over-parametrization in manifold-based surrogates and deep operator networks.
Focus on the x-axis of the plots. For manifold base surrogate (m-PCE): modest over-parameterization leads to better generalization, both within and outside of distribution, whereas aggressive over-parameterization leads to over-fitting. For Deep Operator Network (DeepONet): aggressive over-parameterized leads to better generalization.

ALT Focus on the x-axis of the plots. For manifold base surrogate (m-PCE): modest over-parameterization leads to better generalization, both within and outside of distribution, whereas aggressive over-parameterization leads to over-fitting. For Deep Operator Network (DeepONet): aggressive over-parameterized leads to better generalization.
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Which surrogate model will give more accuracy when you have less training data than when you have a large training dataset? deepai.org/publication/on-th… @kontolati and I have demonstrated the effect of training dataset size on the generalization accuracy of #mPCE, #DeepONet, and #FNO
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