Science
Our focus extends beyond just increasing the rate of scientific discovery; it's about laying new technological foundations that can be applied across multiple fields, driving significant advancements in climate science, materials discovery, healthcare, and more.
Our work
Meet IBM’s new family of AI models for materials discovery
NewsKim MartineauHow to test a quantum computer chip
ResearchMike MurphyPhotos: How IBM and NASA's new geospatial model is changing our view of the world
NewsKim MartineauAn IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era
NewsPeter HessAccelerating discoveries with new AI tools, powerful chips — and turkey
ExplainerMike Murphy, Peter Hess, and Kim MartineauA new tool for accelerating the discovery of new materials
ResearchPeter Hess- See more of our work on Science
Topics
- Accelerated DiscoveryThe world is changing rapidly every day, and the way we used to solve problems won’t cut it anymore. At IBM Research, we’re combining our expertise in quantum computing, AI, and hybrid cloud to drastically increase how quickly we can discover solutions to tackle today’s most urgent problems.
- Materials DiscoveryIt can take over 10 years to come up with new materials. At IBM Research, we’re looking to accelerate the discovery process using new AI methods, robotics, the hybrid cloud, and quantum computers. Our goal is to unlock new properties and materials to address global challenges in years not decades.
Publications
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience
- Nimesh Jha
- Shuxin Lin
- et al.
- 2025
- AAAI 2025
Adaptive PII Mitigation Framework for Large Language Models
- 2025
- AAAI 2025
Enhancing Decision Making through the Integration of Large Language Models and Operations Research Optimization - Bridge Talk
- Segev Wasserkrug
- Léonard Boussioux
- et al.
- 2025
- AAAI 2025
Perovskite nanocrystal self-assemblies in 3D hollow templates
- 2025
- ACS Nano
Spline Quantile Regression
- Ta-hsin Li
- Nimrod Megiddo
- 2025
- arXiv
The fastest path to progress
Watch a new short film on the computing revolutions that are accelerating the rate of scientific discovery like nothing before.
Watch the film
Projects
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
