Tag: computational chemistry
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Agentic AI Discovery of Exchange-Correlation Functionals
Explore how AI-driven agentic systems revolutionize exchange-correlation functional design in density functional theory for enhanced accuracy and efficienc...
VQ-SAD: Advanced Diffusion Model for Molecule Generation
Discover VQ-SAD, a novel vector quantized diffusion model enhancing molecular generation accuracy and stability using VQ-VAE and symbolic info.
Accelerating SCF Workflows with Equivariant Density-Matrix Learning
Discover dm-PhiSNet, a novel model using equivariant density-matrix learning to speed up SCF workflows and improve quantum chemistry calculations.
Graph Neural Networks for Crystal Structure Prediction
Discover how graph neural networks optimize crystal structure prediction, accelerating material discovery with advanced combinatorial methods.
COMO: Advanced Optical Molecule Recognition with MRT
Discover COMO, a closed-loop framework using Minimum Risk Training for superior optical molecule recognition in computational chemistry.