Diffusion-based generative drug-like molecular editing with chemical natural language
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Updated
May 18, 2024 - Python
Diffusion-based generative drug-like molecular editing with chemical natural language
Optimization of light-by-light scattering scenarios with BoTorch engine.
Utility functions for running gridscans and optuna optimizations for light-by-light scattering simulated with VacEm
Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American quantum hardware engineer & doctoral researcher.
Interface-aware molecular generative framework for protein-protein interaction modulators
go clone of ed, the standard UNIX text editor
🚀 QED Website
De novo molecular design with deep molecular generative models for protein-protein interaction(PPI) inhibitors
A novel solution to the Klein-Gordon equation in the presence of a strong rotating electric field
Quantum radiation reaction in head-on laser-electron beam interaction
High Energy Electromagnetic Conversion Processes in Intense Magnetic Fields
Pair Production in Photon-Photon Collisions
Efficient high-energy photon production in the supercritical QED regime
Klein-Nishina cross section, some useful calculations
Monte Carlo package for simulating strong field QED interactions.
Explore drug-like space with deep generative models
Electron-positron pairs beaming in the Breit-Wheeler process
The QED (Quantitative Estimation of Drug-likeness) molecular descriptor to use in combination with RDKit
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