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The Nanotechnology Molecular Optimization (NMO) Benchmark introduces physics-based molecular design tasks replacing drug-discovery-focused metrics, aiming to drive scientific discovery in nanotechnology. The paper shows that advanced methods underperform simpler approaches on NMO, and proposes new baseline methods including a novel representation and domain-agnostic pretraining.