Strengthen Your DOE Genesis Mission Proposal — AI Clinic Opportunity Thursday, April 2, 2026

Thank you for submitting a preproposal as a lead for the DOE Genesis Mission: Genesis Mission: Transforming Science and Energy with AI Request for Application (RFA). 

I am inviting you and your team members to an AI Clinic this Thursday, April 2, designed to strengthen your U.S. Department of Energy (DOE) Genesis Mission proposal ahead of submission. Our in-house AI experts stand ready as your competitive advantage, to help you sharpen and elevate your proposal to the next level. 

AI Clinic Details
Thursday, April 2, 2026
12:30 – 4:30 p.m.
Building 240, Room 1416

RSVP using this form.  A short questionnaire is included to help us tailor the clinic to your specific needs and ensure you are matched with the right expertise. Please submit your input by 5 p.m. CT Wednesday, April 1.

Why Attend the AI Clinic

Argonne’s AI experts are ready to engage directly with your proposal, helping you sharpen your AI narrative, stress-test your workflow, identify the right methodologies, and build the credibility that reviewers will expect.

We expect this RFA to be highly competitive with well over a thousand ideas submitted. Feedback from the clinic can help your proposal stand out and engage DOE reviewers from the first page.

While clinic attendance is not required, I strongly encourage you to take advantage of this opportunity. Stronger AI cases will strengthen our proposals and the chances we can drive transformational change through Genesis Mission funding.

Feedback from Challenge Area Coordinators

Our Challenge Area Coordinators have read your preproposals, and the domain science stories you are telling are compelling — the outcomes you describe have the potential to significantly transform society.

However, across submissions, there is an opportunity strengthen rigorous, end-to-end AI narratives that demonstrate AI advantage, not merely AI usage. Videos produced by the ModCon Seed teams offer strong examples of how to demonstrate and narrate the AI advantage. Proposals that stand out will clearly convey both the scientific opportunity and the practical path to impact.

As you prepare for Thursday’s AI Clinic, and your final submission, consider how your proposal addresses the following:

• What is the measurable advantage? Identify what will improve and how you will measure it — whether that’s prediction accuracy, discovery speed, experimental throughput, uncertainty reduction, or cost.
• Is this the most compelling workflow? Clearly describe the scientific or engineering challenge and how AI will meaningfully accelerate or transform it. Help reviewers understand why AI is the right, necessary approach.
• Is the AI approach contemporary and well-matched to the problem? Be specific about the methods you plan to use (e.g., foundation models, multimodal approaches, agentic workflows) and why they are appropriate. Clear justification helps reviewers assess both rigor and relevance.
• What does the full pipeline look like? Outline the end-to-end approach, including data curation, model development, inference, and how the outputs translate into a usable capability. Proposals are strongest when they demonstrate impact beyond a standalone model.
• How does your proposal leverage and contribute to the Genesis Platform?Consider how you will use core resources (e.g., AmSc, ModCon) and how your outputs (e.g., datasets, models, workflows, or software components) could be shared or extended to benefit the broader community.
• Do you have the right team? Highlight how your team brings together AI expertise, domain knowledge, data stewardship, and validation. Well-integrated teams strengthen both execution and impact.

Framing your proposal with these elements will help DOE reviewers quickly understand its significance, feasibility, and broader value.

We are starting from a position of strength. You’ve put forward compelling ideas, and now is the opportunity to translate them into proposals that command attention and position Argonne to lead in the scale and impact of what we secure.