December 18, 2025 Science

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, we’re 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 speed of American science. The Genesis 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 significant obstacles of unprecedented scale and complexity — from shaping and simulating the intricate dynamics of fusion plasma, to exploring the vast search space of new materials, and finding a way to process and understand ever-growing volumes of data and literature. Modern deep learning methods are uniquely suited to address these challenges and compress the time new discoveries would otherwise require.

To help realize the ambitious vision in the Genesis Mission, 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 that we will look to grow and expand in the months and years ahead.

Putting our 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, which is 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, and accelerate 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, computer science, and more.

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 is showing incredible promise for application across many areas in computing and math and, we believe, could be transformative across many more areas such as material science, drug discovery and energy. For example, AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself.
• 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, AlphaGenome could potentially be extended to help improve crop resistance and other applications including sustainable biofuels and advanced biomaterials.
• WeatherNext - a state-of-the-art family of weather forecasting models. Our partnership with the U.S. National Hurricane Center already supports their cyclone forecasts and warnings, helping communities prepare for disasters earlier.

A history of collaboration for scientific progress

We've seen what’s possible when industry-leading technology can build upon the work of the National Laboratories. The foundational work by DOE's Brookhaven National Laboratory on the Protein Data Bank was crucial for the development of AlphaFold, our AI system that can predict the 3D structure of proteins, the development of which 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 be accelerating American scientific leadership by also 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.