Top Tweets for #physicsinformed
PINFDiT at #ICLR2026!
How do we bridge the "Scientific Reality Gap" in AI? Current models generate plausible data but often ignore physical laws. PINFDiT is a Diffusion Transformer designed to fix that.
#FoundationModel #TimeSeries #PhysicsInformed
AI models often violate physical laws. My new solution: A Physics-Informed ML framework for predicting flow stress in 316L Steel. By enforcing monotonicity and smoothness, we ensure physically valid, production-ready simulations.
#PhysicsInformed #MaterialScience #AI
Smarter AI is supercharging battery innovation #PhysicsInformed | Fast Company https://t.co/jIUkx9eSgb
#OEA_retrospect Physics-informed deep learning for fringe pattern analysis https://t.co/c5xi6NeHLL… by Prof. @Surpass_Zuo from @SCILab_NJUST Prof. #EdmundYLam from @HKUniversity
#Deep_Learning #PhysicsInformed #Neural_Network #PhaseRetrieval #FringeAnalysis #Optical #Metrology
In our new paper just published at #SIAMJournalonScientificComputing:a new #physicsinformed #MachineLearning scheme for the computation of slow invariant manifolds for #dynamicalsystems https://t.co/RPUxwU6cDw. #dynamicalsystems @dpatsatzis91 @FabianiGiaz94 #siam #SISC
🏆 Discover the best #MLST research from 2023.
'Applications of physics informed neural operators' presents a critical analysis of #PhysicsInformed #NeuralOperators (PINOs) to solve partial differential equations (PDEs).
Explore 👉https://t.co/bDQUGWqi05
#OEA_highlight Physics-informed deep learning for fringe pattern analysis https://t.co/c5xi6NffBj by Prof. @Surpass_Zuo from @SCILab_NJUST Prof. #EdmundYLam from @HKUniversity #DeepLearning #PhysicsInformed #NeuralNetwork #PhaseRetrieval #FringeAnalysis #Optical #Metrology
📢Our latest paper, co-authored by @l_mandl, André Mielke, @SMSeyedpour, and @Tim_Ricken, is now available in @SciReports. In this #paper, we used #PhysicsInformed #neuralnetworks(#PINNs) to simulate a one-dimensional consolidation problem. https://t.co/v31abKoFfn
In our new open access paper in #JCompPhys, we present a new #physicsinformed #MachineLearning approach for the #feedbacklinearization and pole placement of discrete nonlinear #dynamicalsystems in one step! https://t.co/lypy8sHdY2
Linearize and #control #nonlineardynamicalsystems with #physicsinformed #MachineLearning in one step! Find out more in our new preprint here https://t.co/lPQetojbhL #PINN #dynamicalsystems
📢 He are hiring in good company!
✨ If you are interested in a Postdoctoral position and are working in the domains of #physicsinformed & #hybrid #modelling, #monitoring and #valueofinformation for #decisionsupport check out this opportunity below:
https://t.co/SHDSTf6aNH
Congratulations to Jakob for successfully finishing his bachelor's thesis in #PhysicsInformed #NeuralNetworks. Good luck for his stay in @lunduniversity for his Masters.
Our work on #PINNs (#PhysicsInformed #NeuralNetworks) on #RANS simulations is out! Check it out #OpenAccess here:
https://t.co/MzPqNFfiGN
Excellent work @Hamideivazi!
#CFD #NumericalSimulation #DeepLearning #MachineLearning #AI
#Research #Seminar with @Hamideivazi for the #CRUNCH group of Prof. George Karniadakis! #deeplearning, #turbulence and #PhysicsInformed #neuralnetworks (#PINNs) for #RANS #simulations.
#Join via #Zoom!
August 27, 12pm ET/18 CEST
Zoom link: https://t.co/Al6pPuDdBO
@eigensteve
In our latest #paper we used #PhysicsInformed #neuralnetworks (#PINNs) to perform #RANS #simulations without any assumption about the #closuremodel. We obtain stunning results in #complex #TurbulentFlows with #PressureGradient and #Separation ! https://t.co/fQW0DxzmIm
Just presented part of my work at #PASC21:
"Predicting #Wakes Behind Buildings: A #MachineLearning Approach for Extracting #PhysicsInformed #LowOrderModels from Highly Resolved Flow-Field Datasets"
@PASC_Conference #PASC21
Check our our latest work with Zhilu (Oscar) Lai, Charilaos Mylonas and @SatishNagarajah on #structural #identification by means of Neural Ordinary Differential Equations (Neural ODEs).
A two-level representation is used involving a #physicsinformed term…https://t.co/zk7WZU7y6y
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