Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials 事件

Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials arXiv:2606.00315v1 Announce Type: new Abstract: Modern generative machine learning (ML) models can propose novel inorganic crystalline materials with targeted properties; however, synthesis planning of these materials remains difficult due to the complexity of the associated physical processes and limited availability of computational tools. We introduce a novel hybrid framework to evaluate Large Languag