aiqbench takeMachine Learning

The DOE's Genesis Mission leverages artificial intelligence to create digital twins for biomanufacturing, aiming to accelerate the discovery of sustainable energy materials while reducing scaling risks. This initiative exemplifies a major national effort where AI serves as the central engine for optimizing complex scientific workflows across academia and industry. By replacing slow, failure-prone traditional methods with predictive models, this project directly addresses critical bottlenecks in producing next-generation fuels and chemicals.

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DOE’s Genesis mission unites experts to tackle national challenges

Quantum ZeitgeistAugust 6, 20264 min read

UCF’s Haonan Ling joins the U.S. Department of Energy’s Genesis Mission, a nationwide effort that unites experts to accelerate discovery of next-generation energy materials using AI.

Haonan Ling, a UCF Associate Professor of Mechanical and Aerospace Engineering, is developing an AI-powered tool as part of the U.S. Department of Energy’s Genesis Mission, a nationwide effort uniting academic, industry, and government teams. This virtual replication aims to predict and optimize bioprocess performance, addressing critical challenges in scaling up sustainable fuel and chemical production. “The challenge is that conventionally scaling up biomanufacturing is slow and prone to failure, creating a need for smarter tools to accelerate development,”…

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