Molecular Universe
10^11 is both the number of humans who have ever lived on Earth and the number of small molecules that could be used for batteries. For our Human Universe, all data in the form of books, videos, social media, and others generated over the past 200,000 years are being used to develop Artificial General Intelligence (AGI). Similarly, we want to map all fundamental physical and chemical properties of small molecules to build a Molecular Universe (AI4Science). This will help train an AI Agent to accelerate material discovery for Li-Metal and Li-ion batteries and accelerate the transition to electric transportation.
1011
# of people ever lived on earth
All knowledge, books, social network profiles, everything about everything and everyoneAGI
# of small molecules that could be used for batteries
All properties about small moleculesAI4SCIENCE
Our AI4Science effort begins with mapping the universe of small molecules
Here we leverage the latest computer hardware and computational chemistry and physics software to build the world’s largest molecular property database. Then we train advanced AI models with this molecular property database, literature and our team of world-class domain experts to both screen and generate new molecules.
These new molecules are then synthesized in our Electrolyte Foundry, formulated in electrolytes, and tested and validated in actual cells (from lab samples to A-samples to B-samples and beyond).
How it works
Research
Industry
“Energy efficiency and minimal environmental impact are crucial in advancing computational workflows. As part of its collaboration with Crusoe, SES AI is using NVIDIA’s GPUs and AI technology to harness powerful compute capabilities that will help unlock new potential in battery innovation and energy storage solutions.”
“Crusoe is dedicated to aligning the future of computing with the future of the climate. By providing a sustainable and cost-effective AI cloud platform, we are supporting SES AI’s vision to map the molecular universe and create ground-breaking AI models that could accelerate a sustainable future. This collaboration showcases how advanced computing can drive scientific progress while minimizing environmental impact.”
“Supermicro’s high-performance computing solutions are designed to support intensive workloads and innovative projects like SES AI’s initiative in AI for Science. We are excited to contribute to this effort with our advanced and energy-efficient hardware.”