Prof. Anima Anandkumar on Twitter: "Thank you for featuring our work. This is the first #ml method that is able to learn solution operator for family of Navier Stokes with zero-shot super resolution : train on low resolution and directly evaluate at high resolution. @ZongyiLiCaltech @kazizzad @Caltech… https://t.co/X4QLDq1ZP9"

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‏ @AnimaAnandkumar

Thank you for featuring our work. This is the first #ml method that is able to learn solution operator for family of Navier Stokes with zero-shot super resolution : train on low resolution and directly evaluate at high resolution. @ZongyiLiCaltech @kazizzad @Caltechhttps://twitter.com/HPC_Guru/status/1330866691778224128 …

HPC Guru @HPC_Guru

ICYMI: Partial differential equations are kind of magical - and notoriously hard to solve. Researchers @Caltech introduced a new #DeepLearning technique for solving PDEs that is dramatically more accurate https://www.technologyreview.com/2020/10/30/1011435/ai-fourier-neural-network-cracks-navier-stokes-and-partial-differential-equations/ … #AI #HPC via @techreview pic.twitter.com/8e7yTK6lqN

9:02 AM - 23 Nov 2020

35 Retweets
252 Likes

11 replies 35 retweets 252 likes

1. Just Bong‏ @JustBong1 Nov 23
  
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  This is interesting..is there any similar solution available for sommerfeld integral?
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1. Gautam Ramachandra‏ @gautam1858 Nov 23
  
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  Wow this is kind of cool :) approximating functions between input output in Fourier space !!!
  
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1. ADHIL PK‏ @ABDULADHILPK Nov 23
  
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  This sounds interesting for me
  
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1. Quentin Thomas‏ @TheQuengineer Nov 23
  
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  The most amazing thing about this paper is it will show the research community that it doesn’t have to be so deep learning centric. You folks accomplished more than you know here!
  
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1. Bhavesh‏ @bhaveshshrima11 Nov 23
  
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  Replying to @AnimaAnandkumar @ZongyiLiCaltech and
  
  @ZongyiLiCaltech Prof. @AnimaAnandkumar have you tested neural operators for other (possibly coupled and nonlinear) PDE systems? Fourier space is a natual choice for many problems under periodic boundary conditions. I haven't read the paper completely but this looks promising :)
  
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1. Ajinkya Kulkarni‏ @kulkajinkya Nov 23
  
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  @TheDeshpande
  
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1. 𝙿𝚎𝚝𝚎𝚛 𝙱𝚊𝚢𝚕𝚎𝚢‏ @peterbayley Nov 23
  
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  Replying to @AnimaAnandkumar @ZongyiLiCaltech and
  
  ML as a pluggable function into solvers. Love it! It would be great if your team could produce a similar annotation video that explains your team's thinking. Making papers accessible is a great service to us ordinary souls :-)
  
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1. Sir Rather Not Say‏ @EssJayWM Nov 23
  
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  Replying to @AnimaAnandkumar @ZongyiLiCaltech and
  
  What she said
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