Gemini for Science
Powering scientific discovery with AI
Powering scientific discovery with AI
Accelerate your research with AI tools and resources built to support scientific endeavors
To further advance the pace of research, we’re offering 10,000 scientists the highest usage tier free of charge in Google Antigravity.
An agent-first platform designed specifically to help with complex research workflows
Equip your agents with domain-specific plugins, skills, subagents, and hooks for instant fluency across more than 30 major life-science databases, including the 1PB AlphaGenome Atlas, UniProt, PubChem, and ChEMBL.
Directly query Google DeepMind frontier models and databases such as AlphaGenome, AlphaFold Database, and Atlas inside your research workspace—from generating Sashimi splice-disruption plots to condensing hours of manual structural analysis into minutes.
Produce publication-ready 3D PyMOL structural renderings, reproducible analysis scripts, and verifiable scientific artifacts that are grounded in evidence and legible at every step.
A collection of experiments exploring the future of AI-powered scientific discovery
We believe AI can be a force multiplier for human ingenuity, empowering researchers to tackle some of the world's most pressing challenges.
These tools are already assisting in real-world discovery across multiple fields of science. From combating antimicrobial resistance to optimizing fabrication methods for crystal growth, see how leading experts are using our AI tools to accelerate a new era of discovery.
We’ve put Co-Scientist into the hands of real scientists to help some of the world's leading experts develop new hypotheses and tackle some of the hardest problems.
Ben Luisi’s lab at the University of Cambridge is using a suite of AI tools to target two essential bacterial processes at once, creating a powerful new way to fight superbugs without triggering further resistance.
At Duke University, the Wang Lab utilized Deep Think mode to solve a complex challenge in materials science: optimizing fabrication methods for crystal growth.
Lisa Carbone, a mathematician at Rutgers University, used Deep Think mode to review a specialized paper in the field of high-energy physics and infinite-dimensional algebra.
Anupam Pathak, an R&D lead in Google’s Platforms and Devices division, tested Deep Think mode to accelerate the design and prototyping of complex physical components.
Accelerate discoveries with specialized Gemini tools that scale your research and sharpen your reasoning.
Save hours of work with Deep Research as your personal research assistant
By blending deep scientific knowledge with everyday engineering utility, Deep Think mode moves beyond abstract theory to drive practical applications