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. # of people ever lived on earth All knowledge, books, social network profiles, everything about everything and everyone # of small molecules that could be used for batteries All properties about small molecules Our AI4Science effort begins with mapping the universe of small molecules All small molecular properties 10^11 All battery, material science and physicochemistry related papers and books 10^6 All SES internal data AI/ML model development and training Recommend new molecules 10^3 Electrolyte Foundry molecule synthesis and electrolyte formulation Battery testing and validation (lab, A-samples, B-samples, and beyond) Research “Electrolytes for advanced batteries have been determined by trial and error. Up to the present there has never been a viable electrolyte solvent, salt or additive first identified by a computer. This has to change! The Molecular Universe project promises to actually find viable and improved electrolyte components. I am very excited by this project!” ‍ “Molecular design for better electrolytes is a test case we hope to showcase the power of open-source database for accelerating AI for Science.” ‍ “Since decades electrolytes are the most underrated battery component in lithium-ion batteries and beyond battery chemistries, both in academia and in industry. The molecular universe initiative is the most serious and promising attempt to fundamentally change this awkward situation.” ‍ “Artificial intelligence (AI) is beginning to have a transformative impact on drug discovery and is poised to do the same for materials discovery. Molecular Universe's machine learning tools, comprehensive database, and extensive computing resources will enable the material science community to fully harness the power of AI for the betterment of humankind.” ‍ 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.” Stay in the know By clicking “Subscribe”, you are agreeing to our privacy policy. 10^11 is both the number of humans who have ever lived on Earth and thenumber of small molecules that could be used for batteries. For ourHuman Universe, all data in the form of books, videos, social media, andothers generated over the past 200,000 years are being used to developArtificial General Intelligence (AGI). Similarly, we want to map allfundamental physical and chemical properties of small molecules to builda Molecular Universe (AI4Science). This will help train an AI Agent toaccelerate material discovery for Li-Metal and Li-ion batteries andaccelerate the transition to electric transportation. 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). “Electrolytes for advanced batteries have been determined by trial and error. Up to the present there has never been a viable electrolyte solvent, salt or additive first identified by a computer. This has to change! The Molecular Universe project promises to actually find viable and improved electrolyte components. I am very excited by this project!” ‍ “Molecular design for better electrolytes is a test case we hope to showcase the power of open-source database for accelerating AI for Science.” ‍ “Since decades electrolytes are the most underrated battery component in lithium-ion batteries and beyond battery chemistries, both in academia and in industry. The molecular universe initiative is the most serious and promising attempt to fundamentally change this awkward situation.” ‍ “Artificial intelligence (AI) is beginning to have a transformative impact on drug discovery and is poised to do the same for materials discovery. Molecular Universe's machine learning tools, comprehensive database, and extensive computing resources will enable the material science community to fully harness the power of AI for the betterment of humankind.” ‍ “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.”