We stand at an inflection point where the convergence of advanced AI and scientific research promises to unlock a new golden age of discovery. Recognizing this, Google DeepMind is pleased to support the White House’s Genesis Mission—a historic national effort to use AI to transform how scientific research is conducted and accelerate the pace of American science. This mission will mobilize the U.S. Department of Energy’s (DOE) 17 National Laboratories, industry, and academia to build an integrated discovery platform, accelerating breakthroughs across the nation’s most pressing challenges, including energy, scientific discovery, and national security.
At Google DeepMind, our mission is to build AI responsibly to benefit humanity. There is perhaps no clearer expression of this than the application of AI within science. Scientists today face obstacles of unprecedented scale and complexity—from simulating the intricate dynamics of fusion plasma to exploring the vast search space of new materials and processing ever-growing volumes of data and literature. Modern deep learning methods are uniquely suited to address these challenges and compress the timeline for new discoveries.
To help realize this ambitious vision, Google and the DOE are partnering to support the Administration’s goal of harnessing the AI and advanced computing revolution to dramatically expand the productivity and impact of American research and innovation within a decade. We see this as the beginning of an enduring partnership in AI for Science.
Putting Advanced AI Tools into the Hands of American Scientists
Google DeepMind will provide an accelerated access program for scientists at all 17 DOE National Laboratories to our frontier AI for Science models and agentic tools, starting today with AI co-scientist on Google Cloud.
AI co-scientist is a multi-agent virtual scientific collaborator built on Gemini, trained on Google’s world-class TPUs. This system is designed to help scientists synthesize vast amounts of information to generate novel hypotheses and research proposals, accelerating the pace of scientific and biomedical discoveries.
AI co-scientist is already showing its potential across diverse biomedical applications. It proposed novel drug repurposing candidates for liver fibrosis that were validated through laboratory experiments and predicted complex antimicrobial resistance mechanisms that matched experiments before they were even published, demonstrating the potential to accelerate hypothesis development from years to days. It’s also showing early promise in additional fields like physics, chemistry, and computer science.
In early 2026, we will expand our accelerated access program for National Laboratories to include:
- AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms that shows incredible promise for application across computing and math. We believe it could be transformative in areas like material science, drug discovery, and energy. For example, AlphaEvolve has already enhanced the efficiency of Google’s data centers, chip design, and AI training processes.
- AlphaGenome: An AI model to help scientists better understand the non-coding part of DNA, speeding up research on genome biology and improving disease understanding. With more data on plant genomes, it could potentially be extended to help improve crop resistance and applications in sustainable biofuels and advanced biomaterials.
- WeatherNext: A state-of-the-art family of weather forecasting models. Our existing partnership with the U.S. National Hurricane Center already supports their cyclone forecasts and warnings, helping communities prepare for disasters earlier.
DOE and all National Laboratories will also have access to Gemini for Government, which brings together Google’s AI-optimized cloud with our industry-leading Gemini models, including our most intelligent model, Gemini 3, with state-of-the-art reasoning and multimodal understanding.
We’re excited to see what America’s leading researchers will be able to achieve with these frontier tools.
A History of Collaboration for Scientific Progress
We’ve seen what’s possible when industry-leading technology builds upon the work of the National Laboratories. The foundational work by DOE’s Brookhaven National Laboratory on the Protein Data Bank was crucial for developing AlphaFold, our AI system that predicts the 3D structure of proteins. The development of AlphaFold was recognized through Demis Hassabis and John Jumper’s co-award of the 2024 Nobel Prize in Chemistry. The AlphaFold Protein Database has now been used by more than three million scientists in over 190 countries to accelerate research, from effective malaria vaccines to groundbreaking gene therapies.
Looking Ahead
Through the Genesis Mission, we’ll accelerate American scientific leadership by exploring research collaborations with National Laboratories in areas including fusion energy, new materials discovery, and earth science.
The challenges facing our world—from energy to disease to security—demand unprecedented scientific innovation. By combining human ingenuity with advanced AI capabilities, we believe we can help America’s scientists achieve discoveries that would have seemed impossible just years ago.