New York City logs over 100,000 traffic collisions every year. That number sat in the back of my mind when I started looking for a dataset worth working on. Not because I had a hypothesis to prove — ...
The fastest Python implementation of the ForceAtlas2 graph layout algorithm, with Cython optimization for 10-100x speedup. Supports NetworkX, igraph, and raw adjacency matrices. ForceAtlas2 is a force ...
SatelliteOps AI is an intelligent, production-ready platform designed to revolutionize satellite operations through autonomous multi-agent AI architecture. It combines advanced machine learning, ...
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom ...
In computational chemistry and physics, the simulation of interatomic forces is pivotal for understanding material properties and behavior. The Lennard-Jones (LJ) potential serves as a fundamental ...
Deep learning has achieved a notable success in mass spectrometry-based proteomics and is now emerging in glycoproteomics. While various deep learning models can predict fragment mass spectra of ...
The recent times have witnessed unprecedented growth in materials engineering, enabled by major advances in manufacturing technologies like 3D printing, as well as modern methods of materials modeling ...
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian ...
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