SineNet by Texas A&M University and the University of Pittsburgh Innovates PDE Solutions: Addressing Temporal Misalignment in Fluid Dynamics Through Deep Learning
Marktechpost
MARCH 31, 2024
Researchers from Texas A&M University and the University of Pittsburgh propose SineNet. This issue is especially tricky in studying the movement of fluids because how things flow and spread out requires a careful understanding of how things change over time. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.
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