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Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning

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Peter Schmid, Professor, Mechanical Engineering
aerospace design, applied mathematics, Earth systems, energy efficiency​, quantitative flow analysis​
Jan 10, 10:00 - 11:00, Physics-informed Neural Networks for Learning the Homogenized Coefficients of Multiscale Elliptic Equations (KAUST), Dr. Jun Sur Richard Park, Korea Institute for Advanced Study
Homogenization, multiscale methods, Physics-informed Neural Networks, Seminar
polina.morozova photo
Polina Morozova, M.S. Student, Photonics Laboratory
Photonics and optoelectronics

Scientific Computing and Machine Learning (SCML)

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