Speaker
Thomas Maier
(Oak Ridge National Laboratory)
Description
Strongly correlated quantum materials promise to revolutionize many energy-related technologies, but owing to their complexity, their discovery process is rather slow. This talk will discuss how AI can help speed up this process: By accelerating expensive computational simulations and facilitating the conversion of abstract numerical data into experimentally accessible observables, AI can enable a tight integration between simulations and experiments, and thus significantly accelerate the quantum materials discovery process. This vision and proof-of-concept results will be demonstrated for ORNL’s DCA++ research code, a quantum Monte Carlo application for advanced high-performance computing-based simulations of correlated quantum materials.
| Topical Area | AI and data science |
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Author
Thomas Maier
(Oak Ridge National Laboratory)
