FMO-xTB implements FMO2 and FMO3 expansions with GFN1-xTB including analytic gradients, achieving near-linear scaling and high accuracy on benchmarks like water clusters, organic aggregates, polyalanine, and B-DNA.
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A critical review of AI surrogate models for multiscale combustion that compares supervised, unsupervised, and physics-guided methods, identifies transferability and consistency challenges, and outlines future opportunities.
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AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities
A critical review of AI surrogate models for multiscale combustion that compares supervised, unsupervised, and physics-guided methods, identifies transferability and consistency challenges, and outlines future opportunities.