Our focus with PNNL is taking the AI capabilities that already exist on the platform and augmenting them with best in class tools for doing scientific discovery using physics based methods on chemistry problems.
We provide for the cloud computing [an] element of resources that is really needed. And if you have access to the high performance cloud resources, you can perform pretty large simulations.
Physics-based AI models are central to the updated Azure suite. Long developed and utilized by the scientific community, these algorithms are trained on laws of physics combined with specific data reflective of different scientific disciplines.
The purpose of [Azure Quantum Elements] is not to replace traditional laboratory experimentation, but to supplement it by offering a powerful suite of computational tools for researchers.
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