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Found 5 papers, 1 papers with code
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Climate and weather prediction traditionally relies on complex numerical simulations of atmospheric physics.
Field-based Molecule Generation
This work introduces FMG, a field-based model for drug-like molecule generation.
AbODE: Ab Initio Antibody Design using Conjoined ODEs
Antibodies are Y-shaped proteins that neutralize pathogens and constitute the core of our adaptive immune system.
Modular Flows: Differential Molecular Generation
Generating new molecules is fundamental to advancing critical applications such as drug discovery and material synthesis.
Particle Track Reconstruction using Geometric Deep Learning
We propose a novel tracking algorithm based on the Geometric Deep Learning approach using graphical structure to incorporate domain knowledge to track cosmic ray muons in our 3-D scintillator detector.
Data Analysis, Statistics and Probability High Energy Physics - Experiment
