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Rematch+ – Angel Li duration 3 minutes 1 second Rematch+ – Angel Li Rematch+ – Angel Li	Rematch+ – Angel Li Application of Physics-Informed Neural Networks (PINNs) on Chaotic Climate Systems Advised by: Curtis A. Deutsch; The Deutsch Research Group Gian Giacomo Navarra; The Deutsch Research Group climate pin equations equation model pins physics loss output prediction systems optimizer fluid pressure derivative derivatives conditions summer solution values From our Undergraduate Research 0 likes 14 plays Date August 1st, 2024 Speaker Angel Li Department Office of Undergraduate Research
TS15February2024_RStoltzfus-Dueck duration 1 hour 11 minutes TS15February2024_RStoltzfus-Dueck TS15February2024_RStoltzfus-Dueck	TS15February2024_RStoltzfus-Dueck ppplonly function layer form drift flux solution calculation rotation derivative surface equation orbit edge thing model answer math poloidal problem radius From PPPL Admins 0 likes 3 plays
Complex_Analysis_Lecture_1_09112020 duration 1 hour 24 minutes Complex_Analysis_Lecture_1_09112020 Complex_Analysis_Lecture_1_09112020	Complex_Analysis_Lecture_1_09112020 plane thing function series singularity point times kind contour fact minus things taylor functions sense singularities naught equations derivative derivatives From PPPL Admins 0 likes 13 plays