More than 96% of all manufactured goods rely on chemicals that cannot be replaced with alternative materials.
With AI and the latest technological advancements, researchers and developers are studying ways to create novel materials that could address the world’s toughest challenges, such as energy storage and environmental remediation.
NVIDIA ALCHEMI for Material and Chemical Simulations
Exploring the universe of potential materials, using the nearly infinite combinations of chemicals — each with unique characteristics — can be extremely complex and time consuming. Novel materials are typically discovered through laborious, trial-and-error synthesis and testing in a traditional lab.
Many of today’s plastics, for example, are still based on material discoveries made in the mid-1900s.
More recently, AI has emerged as a promising accelerant for chemicals and materials innovation.
Accelerating Research with AI
With the new ALCHEMI NIM microservice, researchers can test chemical compounds and material stability in simulation, in a virtual AI lab, which reduces costs, energy consumption and time to discovery.
For example, running MACE-MP-0, a pretrained foundation model for materials chemistry, on an NVIDIA H100 Tensor Core GPU, the new NIM microservice speeds evaluations of a potential composition’s simulated long-term stability 100x.
Benefits of ALCHEMI NIM
The NIM microservice can boost research on materials for use with solar and electric batteries, for example, to bolster the renewable energy transition.
By letting scientists examine more structures in less time, the NIM microservice can accelerate the identification of electrolyte materials used for electric vehicles.
Real-World Applications
SES AI, a leading developer of lithium-metal batteries, is using the NVIDIA ALCHEMI NIM microservice with the AIMNet2 model to accelerate the identification of electrolyte materials used for electric vehicles.
"SES AI is dedicated to advancing lithium battery technology through AI-accelerated material discovery, using our Molecular Universe Project to explore and identify promising candidates for lithium metal electrolyte discovery," said Qichao Hu, CEO of SES AI.
Conclusion
The NVIDIA ALCHEMI NIM microservice has the potential to revolutionize the field of materials science and accelerate the discovery of novel materials that can support the renewable energy transition.
FAQs
Q: What is the NVIDIA ALCHEMI NIM microservice?
A: The NVIDIA ALCHEMI NIM microservice is a new microservice that accelerates chemical simulations using AI, allowing researchers to test chemical compounds and material stability in simulation, in a virtual AI lab.
Q: What are the benefits of using ALCHEMI NIM?
A: ALCHEMI NIM can reduce costs, energy consumption, and time to discovery, allowing researchers to examine more structures in less time and accelerate the identification of electrolyte materials used for electric vehicles.
Q: How can I access ALCHEMI NIM?
A: ALCHEMI NIM will soon be available for researchers to test for free through the NVIDIA NGC catalog, and will also be downloadable from build.nvidia.com.
