Anthropic is partnering with the US Department of Energy (DOE) as part of the Genesis Mission to advance scientific discovery using artificial intelligence. This multi-year collaboration will focus on areas including energy, biological sciences, and scientific productivity across all 17 national laboratories. Anthropic will provide access to Claude and a team of engineers to accelerate research cycles, leveraging fifty years of DOE data.

Anthropic & DOE Launch Genesis Mission for Scientific Leadership

The Genesis Mission marks a multi-year partnership between Anthropic and the US Department of Energy, designed to bolster American scientific leadership. This collaboration focuses on three key areas: energy dominance, biological and life sciences, and overall scientific productivity across all seventeen national laboratories. Anthropic will contribute access to Claude, alongside a dedicated team of engineers, to accelerate research cycles and address high-priority challenges within the DOE system.

Anthropic’s support extends beyond simply providing AI access; they aim to build purpose-built tools. These include AI “agents” for tackling complex DOE problems, Model Context Protocol servers to connect Claude with scientific instruments, and specialized “Skills” for navigating relevant scientific workflows. Specifically, Claude can aid in speeding up energy permitting, advancing nuclear technology research, and developing pandemic early-warning systems, leveraging access to fifty years of DOE research data.

Beyond the initial partnership, Anthropic envisions expanding its collaboration with DOE to integrate AI across American research institutions. Prior work, like co-developing a nuclear risk classifier with the National Nuclear Security Administration and deploying Claude at Lawrence Livermore, informs this future development. The goal is to establish a model for effective human-AI collaboration, continually refining AI tools based on real-world research experiences.

Claude Access & Tools Support DOE’s Research Domains

Anthropic is providing the Department of Energy (DOE) researchers with access to Claude, alongside a dedicated team of engineers. This support will focus on developing purpose-built tools to address key challenges within the DOE’s research domains. These tools include AI “agents” designed to tackle high-priority problems, Model Context Protocol servers to connect Claude with scientific instruments, and specialized “Skills” to navigate relevant scientific workflows.

This collaboration aims to accelerate research cycles across all seventeen national laboratories, with Claude leveraging access to fifty years of DOE research data. Specifically, Claude can contribute to advancements in energy dominance by streamlining permitting processes and furthering nuclear technology research. In the biological and life sciences, it supports pandemic early-warning systems and drug discovery, while also enhancing overall scientific productivity through informed research support.

Building on prior work—like a nuclear risk classifier co-developed with the National Nuclear Security Administration and Claude’s deployment at Lawrence Livermore—Anthropic envisions expanding this partnership. The goal is to establish a model for effective human-AI collaboration, continually refining AI tools based on experiences within DOE’s research institutions and across the broader American research landscape.

Fifty Years of DOE Data Accelerates Research Cycles

Leveraging fifty years of accumulated research data, Claude aims to accelerate research cycles within the Department of Energy’s strategically important domains. This access to historical data, combined with Claude’s capabilities, allows for well-informed research support – identifying patterns in older data and suggesting new ideas for investigation. The partnership intends to boost progress in areas like energy dominance, biological and life sciences, and overall scientific productivity across all seventeen national laboratories.

Claude’s ability to access and utilize this extensive archive supports advancements in multiple fields. Specifically, it can contribute to faster permitting review processes for energy expansion and facilitate research at the forefront of nuclear technology. In biological and life sciences, Claude will aid in developing pandemic early-warning systems and accelerating drug discovery, all while benefiting from the rich context of decades of DOE research.

This collaboration builds upon prior work with the National Nuclear Security Administration and at Lawrence Livermore, aiming to create a model for effective human-AI collaboration. By continually refining AI tools based on experiences within DOE’s research institutions, Anthropic seeks to expand this partnership across American research institutions, utilizing deep context on scientists’ work and active support from their engineers.