Our project
Empowering the autonomous lab of the future
Serendipity is great. But also unpredictable and unreliable. At 2AID, we combine the creation of artificial intelligence solutions and computational chemistry algorithms towards fully autonomous discovery of materials and molecules. We’re building an automated laboratory where AI designs, runs, and learns from measurements in real time, deciding on experiments in a continuous, self-improving loop.
Our purpose
Most materials are still discovered by a technique of “trial and error”. The chemical space is too vast, and the combinations too intricate for intuition.
2AID closes that gap. We’re building AI systems serving as digital laboratory assistants: our solutions observe experimental data, ideate iterations, and control robots and reactions in a continuous loop. The result is smarter and faster discovery of molecules and materials.
Our objectives
2AID’s mission breaks down into five connected, cooperative subprojects: building the AI algorithms to control robotics in real time (SP1); generating new molecules and catalysts with meaningful models (SP2); engineering the robotic platforms to carry out reactions in real life (SP3); discovering sustainable materials, especially polymers for smart applications (SP4); and creating catalysts to capture and convert CO₂ into valuable fuels and feedstocks (SP5).
Our focus
CO₂ capture & valorisation
We create catalysts to capture and convert CO₂ into valuable fuels and feedstocks.
Water splitting
We automate the discovery of clean catalysts for efficient electrolysis and hydrogen production.
Smart polymers
We make materials that “message” chemists, sensing damage before failure is irreversible.
Bimetallic catalysts
We make materials that “message” chemists, sensing damage before failure is irreversible.
Sustainability
Every experiment in 2AID targets real environmental challenges: cleaner fuels, longer-lasting materials, and catalysts to convert carbon dioxide into value-added products. Moreover, by replacing energy hungry “trial and error” research with AI-guided experimentation, we reduce the resources needed to create chemicals and materials. Overall, our project aims to accelerate the transition to sustainable and automated laboratories.
#4 Quality Education
#7 Affordable & clean energy
#9 Industry, innovation & infrastructure
#13 Climate action
#17 Partnerships for the goals
Education
Spanish chemistry and materials science degrees offer little to no AI training today. 2AID is closing that gap with annual summer schools for PhD students and postdoctoral researchers — taught by our own AI, robotics, chemistry and materials science experts.
What you’ll learn
AI protocols for experimental design | From SP1–SP2
Where AI meets robotics in the lab | From SP3
Applying AI to real chemistry and materials problems | From SP4–SP5