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Leveraging Discrete Function Decomposability for Scientific Design

Bowden, James C. et al.
arXiv (All) · Papers
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machine-learning
In the era of AI-driven science and engineering, we often want to design discrete objects in silico according to user-specified properties. For example, we may wish to design a protein to bind its target, arrange components within a circuit to minimize latency, or find materials with certain propert
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