MLIP Studio unifies 60+ universal machine learning interatomic potentials in a free web platform for interactive atomistic simulations, benchmarking, and MLIP-accelerated DFT workflows.
Nucleic acids research , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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MolSight injects molecular graph topology and image-derived SVG annotations into a vision-language model, reporting state-of-the-art results on image-to-SMILES, captioning, descriptor, and bioactivity tasks.
citing papers explorer
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MLIP Studio: An Open Platform for Interactive Benchmarking and Atomistic Simulations Using Machine Learning Interatomic Potentials
MLIP Studio unifies 60+ universal machine learning interatomic potentials in a free web platform for interactive atomistic simulations, benchmarking, and MLIP-accelerated DFT workflows.
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MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding
MolSight injects molecular graph topology and image-derived SVG annotations into a vision-language model, reporting state-of-the-art results on image-to-SMILES, captioning, descriptor, and bioactivity tasks.