Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
Even most rocket scientists would rather avoid hard math when they don't have to do it. So when it comes to figuring out ...
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Three PPPL researchers have earned the prestigious Kaul Foundation Prize for their groundbreaking work in fusion stability.
Abstract: Motion blurry images challenge many computer vision algorithms, e.g., feature detection, motion estimation, or object recognition. Deep convolutional neural networks are state-of-the-art for ...
This repository includes the training and evaluation code for the above paper. python train_script.py --name data_physics --data True --physics True --pretrained_checkpoint DATA_CHECKPOINT ...
The National Medical Commission (NMC) has released the official NEET UG 2026 syllabus, outlining the topics to be covered in ...
By borrowing ideas from classical physics, market behaviour can be broken down into a few intuitive laws that explain why ...
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