Tim Lou, PhDinTowards Data ScienceThe Physics Behind DataHow physics principles give us deeper insights into our dataMay 186May 186
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Disruptive ConceptsDisruptive Concepts: How Physics-Informed Neural Networks Are Changing the GameImagine a world where computers can predict complex events with incredible accuracy, from the weather next week to the movements of a…Dec 9, 2023Dec 9, 2023
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John MorrowinTowards Data ScienceInverse Physics-Informed Neural NetSolving inverse differential equation problemsMar 27, 20233Mar 27, 20233
Shuai GuoinTowards Data ScienceSolving Inverse Problems With Physics-Informed DeepONet: A Practical Guide With Code ImplementationTwo case studies with parameter estimation and input function calibrationJul 17, 20233Jul 17, 20233
Shuai GuoinTowards Data ScienceDiscovering Differential Equations with Physics-Informed Neural Networks and Symbolic RegressionA case study with step-by-step code implementationJul 28, 20237Jul 28, 20237
Shuai GuoinTowards Data ScienceOperator Learning via Physics-Informed DeepONet: Let’s Implement It From ScratchA deep dive into the DeepONets, physics-informed neural networks, and physics-informed DeepONetsJul 7, 20234Jul 7, 20234
Hriday MehtaHands-On Physics Informed Neural NetworksThis article mainly covers the implementation of a Physics Informed Neural Network (PINN), covering some basic concepts along the way. I…Mar 51Mar 51
Mirko PetersinMirko Peters — Data & Analytics BlogRevolutionizing AI: The Role of Physics-Informed Neural NetworksThe world of artificial intelligence (AI) has been making significant strides in recent years, with advancements in deep learning…Sep 22, 2023Sep 22, 2023
Shuai GuoinTowards Data SciencePhysics-Informed Neural Networks: An Application-Centric GuideA comprehensive overview of PINN’s real-world success storiesFeb 97Feb 97
