SandboxAQ's Large Quantitative Models (LQMs) combine physics-based simulation with machine learning to accelerate drug discovery and materials innovation. Now, LQMs are accessible through large language models. Researchers can access frontier scientific AI in natural language, moving faster from hypothesis to breakthrough. You can use SandboxAQ to: Multi-objective alloy optimization: "What amount of Pt in a Pt-Fe alloy maximizes CH₃ binding while minimizing C₂H₅ binding?" Binding crossover detection: "At what Pd content in a Pd-Fe alloy does CO binding cross from strong to weak?" Track simulation jobs: "List my running AQCat jobs and check the status of job 4821."