Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

Quantum networks bring new precision to dark matter searches

Detecting dark matter—the mysterious substance that holds galaxies together—is one of the greatest unsolved problems in ...
IEEE

Physics-Informed Neural Networks for Modal Analysis of Diaphragm-Structured Mems with Experimental Validation

Abstract: We present and experimentally validate a novel framework that leverages physics-informed neural networks (PINNs) for advanced MEMS eigenmode analysis. Our work advances the field in three ...
GitHub

NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics

CUDA 12.6, 64-bit Python 3.10 and PyTorch 2.5.1, other environments may also work Users can use the following commands to install the packages conda create -n newtongen python=3.10 pip install ...
IEEE

Physics-Informed Neural Network-Based Open Set Classification of Neighboring Vehicle Motion for Decision-Making in Autonomous Driving

Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification ...
Frontiers

Physics inspired neural network for optical property retrieval from diffuse reflectance

1 Image-guided Surgery, Surgical Department, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, Netherlands 2 Department of Nanobiophysics, University of Twente, Enschede, Netherlands ...