Nature

Molecular dynamics articles from across Nature Portfolio

Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...
Pew Research Center

Migrant encounters at the U.S.-Mexico border are at their lowest level in more than 50 years

U.S. Border Patrol encounters with migrants crossing into the United States from Mexico have fallen to their lowest level in more than 50 years, according to a Pew Research Center analysis of ...
IEEE

Group Point Symmetry and Multi-Step Dynamics Prediction for Physical Systems with Graph Neural Networks

Abstract: Modeling the 3D dynamics of relational systems is a key challenge in the field of natural sciences, especially in molecular simulations and particle mechanics. However, existing graph neural ...
IEEE

Predicting Dynamics on Hypergraphs with Graph Attention Networks

Abstract: Hypergraphs offer a more effective approach to modeling virus spread by capturing higher-order interactions among individuals, yet accurately predicting dynamics on hypergraphs remains a ...
Yahoo Finance

General Dynamics Corporation (GD)

This price reflects trading activity during the overnight session on the Blue Ocean ATS, available 8 PM to 4 AM ET, Sunday through Thursday, when regular markets are closed.
GitHub

Graph Neural Network (GNN) simulator for particle dynamics in PyTorch; Extension to generate a custom gravitational N-body dataset using classical numerical integrators.

Inspired by Stanford CS224W blog post: https://medium.com/stanford-cs224w/simulating-complex-physics-with-graph-networks-step-by-step-177354cb9b05 A minimal project ...