Tootfinder

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations
Luis Kin Miyatake, Eduardo Camponogara, Eric Aislan Antonelo, Alexey Pavlov
https://arxiv.org/abs/2506.06188

Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations
The modeling and control of single-phase flow systems governed by Partial Differential Equations (PDEs) present challenges, especially under transient conditions. In this work, we extend the Physics-Informed Neural Nets for Control (PINC) framework, originally proposed to modeling and control of Ordinary Differential Equations (ODE) without the need of any labeled data, to the PDE case, particularly to single-phase incompressible and compressible flows, integrating neural networks with physical…

Delighted to see these two new papers come out in Nature (they've been on bioRxiv for a while).
How does Pavlov's dog learn that the bell predicts the food? One answer is that the bell appears ``close'' in time to the food and that enables learning. We're certain that dopamine has something to do with learning these kinds of associations. But the definition of ``close'' in time is actually really difficult to pin down. You can get associations over prett…

🇺🇦 #NowPlaying on BBCRadio3's #OperaOn3
Pyotr Ilyich Tchaikovsky, Pablo Ferršndez, Swedish Chamber Orchestra & Martin Frost:
🎵 Variations on a Rococo Theme, Op. 33
#PyotrIlyichTchaikovsky #PabloFerrández #SwedishChamberOrchestra #MartinFrost

2025 ist scheinbar ein gutes Jahr für #Pappel-flaum in #Berlin 🌨
#Stadtnatur #Pappelflaum