Tag: Neural Networks

ScientificML

Proposes neural network-based pulse deconvolution for FCC-ee's high-granularity dual-readout calorimeter, leveraging timing separation of Cherenkov and scintillation signals to improve energy resolution.

Materials

Neural networks trained on 4DSTEM diffraction patterns enable rapid identification of LiNiO2 and NiO material phases, providing a computationally efficient approach for analyzing large sets of materials image data.

Quantum/Chemical

Proposes iCRNNs to discover chemical reaction network structures and kinetics from time-series concentration data without prior mechanistic assumptions, balancing interpretability and computational efficiency.

Scientific Computing

A PINN-related model resource hosted on HuggingFace by OneScience-Group, designed for scientific computing and physics-based problem modeling.

PINN

A Physics-Informed Neural Network model for solving compressible Euler equations, hosted on HuggingFace.

Electromagnetics

A systematic review of physics-informed machine learning applications in electricity system design, monitoring, and control, focusing on hybrid architectures and physics constraint embedding methods.