The 2025 Nobel Prize in Chemistry was awarded to Susumu Kitagawa, Richard Robson, and Omar Yaghi for the development of metal-organic frameworks (MOFs). These "programmable crystals" open new possibilities for solving global environmental and energy challenges.
What Happened
The laureates received the prize for creating MOFs—highly porous structures that can capture CO₂, extract water from the air, and efficiently store hydrogen. The process of searching for such materials has evolved from classical manual synthesis to a model where AI performs computational screening of millions of potential structures.
Context
The development of MOFs marks a transition in chemistry from a trial-and-error method to a big data management paradigm. In modern science, AI acts as a scaling tool, transforming the search for new materials into a task of high-performance computing and automated design.
Why It Matters for the Industry
For the industry, this means the transformation of materials science into a data-driven discipline. An increase in demand is expected for specialized modeling software, computing power, and the creation of closed-loop labs, where AI manages robots to synthesize predicted structures.
Why It Matters for Users
For the general audience, this is an example of how AI does not replace scientists but expands their capabilities, accelerating the solution to critical problems—from atmospheric cleaning to creating new energy sources.
Sources
Author
Look at AI, Editorial Staff