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Author

Daniel S. Levine

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#artificial intelligence Preprint Sep 2026

An open benchmark for machine learning-based polymer property prediction

Polymer property prediction lacks open, standardized benchmarks that enable rigorous comparison of machine-learning methods, with existing resources covering only a narrow fraction of polymer architectures, such as homopolymers. We introduce Polymer Benchmark 2026 (PolyBench26), an open dataset comprising nearly 250,00...

Robert W. Learsch, Nicholas T. Liesen, Daniel S. Levine et al. · 0 citations
Preprint Sep 2026

Quantum-accurate atomistic modeling of enzyme catalysis using a machine learned potential

Electronic rearrangements associated with bond forming/breaking in catalytic enzymes require quantum mechanical (QM) treatment beyond classical molecular mechanics (MM). Hybrid QM/MM methods enable tractable simulations but require system-specific setup and are sensitive to the QM region choice and treatment of the QM/...

Meng Gao, Armin Shayesteh Zadeh, Aniruddha Seal et al. · 0 citations
Preprint Sep 2026

Quantum-accurate atomistic modeling of enzyme catalysis using a machine learned potential

Electronic rearrangements associated with bond forming/breaking in catalytic enzymes require quantum mechanical (QM) treatment beyond classical molecular mechanics (MM). Hybrid QM/MM methods enable tractable simulations but require system-specific setup and are sensitive to the QM region choice and treatment of the QM/...

Meng Gao, Armin Shayesteh Zadeh, Aniruddha Seal et al. · 0 citations

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