A Power-to-X Materials Acceleration Platform -T2
T2 will develop a Decentralized and AsychroNous Materials Acceleration Platform (DANMAP) to design and optimize materials for Power-to-X. DANMAP relies on AI, autonomous workflows and machine learning techniques to orchestrate and accelerate the discovery process.
Materials hold the key to the green transition, but we lack the right catalysts to provide globally scalable Power2X solutions. T2 strives to shorten the discovery time of these materials by developing and integrating a series of scientific and technological modules such as scientific instruments, mobile manipulators/robots and machine learning models.
DANMAP will connect and utilize the unique equipment and competencies at CAPeX’s national and international partners – on demand. This will enable AI-orchestrated design, synthesis, and characterization of new materials by acquisitioning data or requesting a new experiment or simulation to be performed. Data can be analyzed on the fly and used to suggest the next composition to synthesize, experiment or simulation to perform.
Such a Self-driving Laboratory (SDL) represents a new paradigm in materials research, where discoveries can be made using a closed-loop framework that doesn’t depend on hands-on involvement from the researchers.
Nothing motivates me more than finding technological solutions to reduce CO2 emissions and combat climate change for future generations. Advances in AI, supercomputing, robotics and big data now allow us to tackle previously unattainable scientific challenges at unprecedented speed.